國立暨南國際大學資訊管理學系

  1. Abdrabo, M. A., & Hassaan, M. A. (2015). An integrated framework for urban resilience to climate change–Case study: Sea level rise impacts on the Nile Delta coastal urban areas. Urban Climate, 14, 554-565.

  2. Abecker, A. (1997). Corporate memories for knowledge management in industrial practice: prospects and challenges. Journal of Universal Computer Science, 3(8), 929-954.

  3. Abecker, A., & Decker, S. (1999). Organizational memory: Knowledge acquisition, integration, and retrieval issues. In XPS-99: Knowledge-Based Systems. Survey and Future Directions (pp. 113-124). Springer Berlin Heidelberg.

  4. Adger, W. N. (2000). Social and ecological resilience: are they related? Progress in human geography, 24(3), 347-364.

  5. Adler, R. (2008). Knowledge engines for critical decision support. Knowledge management strategies: a handbook of applied technologies, 143-169.

  6. Admane, L. (2005, October). A generic model of corporate memory: application to the industrial systems. In Proceedings of the 3rd international conference on Knowledge capture (pp. 171-172). ACM.

  7. Agnihotri, R., Dingus, R., Hu, M. Y., & Krush, M. T. (2015). Social media: Influencing customer satisfaction in B2B sales. Industrial Marketing Management.

  8. Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS quarterly, 107-136.

  9. Aldunce, P., Beilin, R., Howden, M., & Handmer, J. (2015). Resilience for disaster risk management in a changing climate: Practitioners’ frames and practices. Global Environmental Change, 30, 1-11.

  10. Ale, M. A., Toledo, C. M., Chiotti, O., & Galli, M. R. (2014). A conceptual model and technological support for organizational knowledge management. Science of Computer Programming, 95, 73-92.

  11. Aleksić, A., Stefanović, M., Arsovski, S., & Tadić, D. (2013). An assessment of organizational resilience potential in SMEs of the process industry, a fuzzy approach. Journal of Loss Prevention in the Process Industries, 26(6), 1238-1245.

  12. Althoff, T., Borth, D., Hees, J., & Dengel, A. (2013, October). Analysis and forecasting of trending topics in online media streams. In Proceedings of the 21st ACM international conference on Multimedia (pp. 907-916). ACM.

  13. Amann, B., & Jaussaud, J. (2012). Family and non-family business resilience in an economic downturn. Asia Pacific business review, 18(2), 203-223.

  14. Ambulkar, S., Blackhurst, J., & Grawe, S. (2015). Firm's resilience to supply chain disruptions: Scale development and empirical examination. Journal of Operations Management, 33, 111-122.

  15. Anil, R., Dunning, T., & Friedman, E. (2011). Mahout in action. M]. New York: Manning Publications Co, 1-2.

  16. Annarelli, A., & Nonino, F. (2015). Strategic and operational management of organizational resilience: Current state of research and future directions. To appear in Omega.

  17. Antunes, P. (2011). BPM and exception handling: Focus on organizational resilience. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 41(3), 383-392.

  18. Aoki, N. (2015). Adaptive governance for resilience in the wake of the 2011 Great East Japan Earthquake and Tsunami. Habitat International.

  19. Ardianto, D. (2014, December). Understanding social media-enabled participation and resilience in urban farming communities. In Proceedings of the 26th Australian Computer-Human Interaction Conference on Designing Futures: the Future of Design (pp. 111-114). ACM.

  20. Asharaf, S., Murty, M. N., & Shevade, S. K. (2006). Rough set based incremental clustering of interval data. Pattern Recognition Letters, 27(6), 515-519.

  21. ASTM. (2005). The dictionary of Engineering of Science & Technology.

  22. Asur, S., & Huberman, B. (2010, August). Predicting the future with social media. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on (Vol. 1, pp. 492-499). IEEE.

  23. Atkinson, C. L. (2011). An Evaluation of the Impact of Local Government Institutions on Business Resilience in Disaster (Doctoral dissertation, Florida Atlantic University).

  24. Avallone, E. A., Baumeister, T., & Sadegh, A. (2006). Marks' Standard Handbook For Mechanical Engineers (Standard Handbook for Mechanical Engineers). Mcgraw-Hill Professional.

  25. Azadeh, A., Atrchin, N., Salehi, V., & Shojaei, H. (2014). Modelling and improvement of supply chain with imprecise transportation delays and resilience factors. International Journal of Logistics Research and Applications, 17(4), 269-282.

  26. Azbel, I., & Berman, S. (2000). An Epistemic Model as the Basis for a Corporate Memory. In 13th international conference on application of Prolog INAP (pp. 71-76).

  27. Balland, P. A. (2012). Proximity and the evolution of collaboration networks: evidence from research and development projects within the global navigation satellite system (GNSS) industry. Regional Studies, 46(6), 741-756.

  28. Bandari, R., Asur, S., & Huberman, B. A. (2012, February). The Pulse of News in Social Media: Forecasting Popularity. In ICWSM (pp. 26-33).

  29. Bazan, J. G., Nguyen, H. S., Nguyen, S. H., Synak, P., & Wróblewski, J. (2000). Rough set algorithms in classification problem. In Rough set methods and applications (pp. 49-88). Physica-Verlag HD.

  30. Becker, A., Matson, P., Fischer, M., & Mastrandrea, M. (2014). Towards seaport resilience for climate change adaptation: Stakeholder perceptions of hurricane impacts in Gulfport (MS) and Providence (RI). Progress in Planning.

  31. Bekkerman, R. (2004). Automatic categorization of email into folders: Benchmark experiments on Enron and SRI corpora.

  32. Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016). Social big data: Recent achievements and new challenges. Information Fusion, 28, 45-59.

  33. Benard, B. (1997). Turning It Around for All Youth: From Risk to Resilience. ERIC/CUE Digest, Number 126.

  34. Bezdek, J. C., Ehrlich, R., & Full, W. (1984). FCM: The fuzzy c-means clustering algorithm. Computers & Geosciences, 10(2), 191-203.

  35. Bhamra, R., Dani, S., & Burnard, K. (2011). Resilience: the concept, a literature review and future directions. International Journal of Production Research, 49(18), 5375-5393.

  36. Bodin, P., & Wiman, B. (2004). Resilience and other stability concepts in ecology: Notes on their origin, validity, and usefulness. ESS bulletin, 2(2), 33-43.

  37. Bonsón, E., Torres, L., Royo, S., & Flores, F. (2012). Local e-government 2.0: Social media and corporate transparency in municipalities. Government information quarterly, 29(2), 123-132.

  38. Boschma, R. (2015). Towards an evolutionary perspective on regional resilience. Regional Studies, 49(5), 733-751.

  39. Brand, F. (2009). Critical natural capital revisited: ecological resilience and sustainable development. Ecological economics, 68(3), 605-612.

  40. Bristow, G., & Healy, A. (2014). Regional resilience: an agency perspective. Regional Studies, 48(5), 923-935.

  41. Brown, D. D., & Kulig, J. C. (1996). The concepts of resiliency: Theoretical lessons from community research.

  42. Brown, N. (2015). Building disaster resilience: Why community gardens improve community resilience. California State University, Long Beach.

  43. Burnard, K., & Bhamra, R. (2011). Organizational resilience: development of a conceptual framework for organizational responses. International Journal of Production Research, 49(18), 5581-5599.

  44. Cabral, I., Grilo, A., & Cruz-Machado, V. (2012). A decision-making model for lean, agile, resilient and green supply chain management. International Journal of Production Research, 50(17), 4830-4845.

  45. Cabral, I., Grilo, A., & Cruz-Machado, V. (2012). A decision-making model for lean, agile, resilient and green supply chain management. International Journal of Production Research, 50(17), 4830-4845.

  46. Cambria, E., Rajagopal, D., Olsher, D., & Das, D. (2013). Big social data analysis. Big data computing, 401-414.

  47. Cao, J., Zhang, Y., Ji, R., Xie, F., & Su, Y. (2015). Web Video Topics Discovery and Structuralization with Social Network. To appear in Neurocomputing.

  48. Carayannis, E. G., Grigoroudis, E., Sindakis, S., & Walter, C. (2014). Business Model Innovation as Antecedent of Sustainable Enterprise Excellence and Resilience. Journal of the Knowledge Economy, 5(3), 440-463.

  49. Carpenter, S., Walker, B., Anderies, J. M., & Abel, N. (2001). From metaphor to measurement: resilience of what to what? Ecosystems, 4(8), 765-781.

  50. Carvalho, H., Azevedo, S. G., & Cruz-Machado, V. (2012). Agile and resilient approaches to supply chain management: influence on performance and competitiveness. Logistics research, 4(1-2), 49-62.

  51. Carvalho, H., Cruz-Machado, V., & Tavares, J. G. (2012). A mapping framework for assessing Supply Chain resilience. International Journal of Logistics Systems and Management, 12(3), 354-373.

  52. Castellacci, F. (2015). Institutional Voids or Organizational Resilience? Business Groups, Innovation, and Market Development in Latin America. World Development, 70, 43-58.

  53. Cetinkaya, E. K., & Sterbenz, J. P. (2013, March). A taxonomy of network challenges. In Design of Reliable Communication Networks (DRCN), 2013 9th International Conference on the (pp. 322-330). IEEE.

  54. Ceusters, W., & Smith, B. (2007). Referent Tracking for Corporate Memories.Handbook of Ontologies for Business Interaction. New York and London: Idea Group Publishing, 34-46.

  55. Chase, W. H. (1977). Public issue management: The new science. Public Relations Journal, 33(10), 25-26.

  56. Chen, H. T., Ping, S., & Chen, G. (2015). Far from reach but near at hand: The role of social media for cross-national mobilization. Computers in Human Behavior, 53, 443-451.

  57. Chen, K. C., & Huang, C. C. (2010). A Multiple Outcome Rule Extract Algorithm Based in the Rough Set and the Application in Tourism. Report. National Chi-Nan University.

  58. Cheng, F. T., Yan, C., Huang, Y. P., & Zhou, L. (2012, October). Algorithm of identifying opinion leaders in BBS. In Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on (Vol. 3, pp. 1149-1152). IEEE.

  59. Cheng, Y. (2011). The incremental method for fast computing the rough fuzzy approximations. Data & Knowledge Engineering, 70(1), 84-100.

  60. Chewning, L. V., Lai, C. H., & Doerfel, M. L. (2012). Organizational resilience and using information and communication technologies to rebuild communication structures. Management Communication Quarterly, 0893318912465815.

  61. Childers, T. L. (1986). Assessment of the psychometric properties of an opinion leadership scale. Journal of Marketing Research, 184-188.

  62. Cho, Y., Hwang, J., & Lee, D. (2012). Identification of effective opinion leaders in the diffusion of technological innovation: A social network approach.Technological Forecasting and Social Change, 79(1), 97-106.

  63. Cholda, P., Tapolcai, J., Cinkler, T., Wajda, K., & Jajszczyk, A. (2009). Quality of resilience as a network reliability characterization tool. Network, IEEE, 23(2), 11-19.

  64. Chong, Y. Q., Wang, B., Tan, G. L. Y., & Cheong, S. A. (2014). Diversified firms on dynamical supply chain cope with financial crisis better. International Journal of Production Economics, 150, 239-245.

  65. Chopra, S. S., & Khanna, V. (2015). Interconnectedness and interdependencies of critical infrastructures in the US economy: Implications for resilience. Physica A: Statistical Mechanics and its Applications.

  66. Chosnek, J. (2010). Maintaining the corporate memory. Journal of Loss Prevention in the Process Industries, 23(6), 796-798.

  67. Cobb, R. W. (1983). Participation in American politics: The dynamics of agenda-building. Johns Hopkins University Press.

  68. Coutu, D. L. (2002). How resilience works. Harvard business review, 80(5), 46-56.

  69. Cumming, G. S., Barnes, G., Perz, S., Schmink, M., Sieving, K. E., Southworth, J., & Van Holt, T. (2005). An exploratory framework for the empirical measurement of resilience. Ecosystems, 8(8), 975-987.

  70. D.Deng, L.Chen, Parallel reducts and F-rough sets, in: G.Wang, D.Li et al. eds, Cloud Model and Granular Computing, Science Press, 2012, pp210-228.

  71. da Silva, A. S., Smith, P., Mauthe, A., & Schaeffer-Filho, A. (2015). Resilience support in software-defined networking: A survey. Computer Networks, 92, 189-207.

  72. de Oliveira Teixeira, E., & Werther, W. B. (2013). Resilience: Continuous renewal of competitive advantages. Business Horizons, 56(3), 333-342.

  73. Deerwester, S. C., Dumais, S. T., Landauer, T. K., Furnas, G. W., & Harshman, R. A. (1990). Indexing by latent semantic analysis. JAsIs, 41(6), 391-407.

  74. Deerwester, S. C., Dumais, S. T., Landauer, T. K., Furnas, G. W., & Harshman, R. A. (1990). Indexing by latent semantic analysis. JAsIs, 41(6), 391-407.

  75. Degang, C., & Suyun, Z. (2010). Local reduction of decision system with fuzzy rough sets. Fuzzy Sets and Systems, 161(13), 1871-1883.

  76. Deng, D., Yan, D., & Wang, J. (2010). Parallel reducts based on attribute significance. In Rough Set and Knowledge Technology (pp. 336-343). Springer Berlin Heidelberg.

  77. Deng, X., Li, Y., & Lin, S. (2013). Parallel Micro Blog Crawler Construction for Effective Opinion Leader Approximation. AASRI Procedia, 5, 170-176.

  78. Diao, Q., Jiang, J., Zhu, F., & Lim, E. P. (2012, July). Finding bursty topics from microblogs. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers-Volume 1 (pp. 536-544). Association for Computational Linguistics.

  79. Dinh, L. T., Pasman, H., Gao, X., & Mannan, M. S. (2012). Resilience engineering of industrial processes: Principles and contributing factors. Journal of Loss Prevention in the Process Industries, 25(2), 233-241.

  80. Djellali, C. (2013). A New Digital Conceptual Model Oriented Corporate Memory Constructing: Taking Data Mining Models as a Case. Procedia Computer Science, 19, 977-983.

  81. Duan, J., Zeng, J., & Luo, B. (2014, August). Identification of Opinion Leaders Based on User Clustering and Sentiment Analysis. In Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT)-Volume 01 (pp. 377-383). IEEE Computer Society.

  82. Dubois, D., & Prade, H. (1990). Rough fuzzy sets and fuzzy rough sets*.International Journal of General System, 17(2-3), 191-209.

  83. Dufresne, R. L., & Clair, J. A. (2008). Moving beyond media feast and frenzy: Imagining possibilities for hyper-resilience arising from scandalous organizational crisis. Law & Contemp. Probs., 71, 201.

  84. Dyllick, T., & Hockerts, K. (2002). Beyond the business case for corporate sustainability. Business strategy and the environment, 11(2), 130-141.

  85. Dzbor, M., Paralic, J., & Paralic, M. (2000). Knowledge management in a distributed organisation. In Advances in networked enterprises (pp. 339-348). Springer US.

  86. Ebbinghaus, H. (1913). Memory: A contribution to experimental psychology (No. 3). University Microfilms.

  87. Effing, R., & Spil, T. A. (2016). The social strategy cone: Towards a framework for evaluating social media strategies. International journal of information management, 36(1), 1-8.

  88. Euzenat, J. (1996, November). Corporate memory through cooperative creation of knowledge bases and hyper-documents. In Proc. 10th workshop on knowledge acquisition (KAW), Banff (CA), pages (36) (pp. 1-18).

  89. Fani, A. A., Fard, H. D., & Yakhkeshi, H. (2015). Knowledge Management Practice in Iranian Public Organizations. Middle-East Journal of Scientific Research, 23(8), 1656-1663.

  90. Farrell, R. G., Kellogg, W. A., & Thomas, J. C. (2008). The participatory web and the socially resilient enterprise. Proceedings of CSCW, IBM TJ Watson Research Center, 64-74.

  91. Fiksel, J. (2006). Sustainability and resilience: toward a systems approach.Sustainability: Science Practice and Policy, 2(2), 14-21.

  92. Fleming, R. S. (2012). Ensuring Organizational Resilience in Times of Crisis.Journal of Global Business Issues, 6(1), 31.

  93. Flynn, L. R., Goldsmith, R. E., & Eastman, J. K. (1996). Opinion leaders and opinion seekers: Two new measurement scales. Journal of the Academy of Marketing Science, 24(2), 137-147.

  94. Garmezy, N. (1981). Children under stress: Perspectives on antecedents and correlates of vulnerability and resistance to psychopathology. Further explorations in personality, 196-269.

  95. Gifun, J. F., & Karydas, D. M. (2010). Organizational attributes of Highly Reliable complex systems. Quality and Reliability Engineering International, 26(1), 53-62.

  96. Gilbert, E., & Karahalios, K. (2009, April). Predicting tie strength with social media. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 211-220). ACM.

  97. Gittell, J. H. (2008). Relationships and Resilience Care Provider Responses to Pressures From Managed Care. The Journal of Applied Behavioral Science, 44(1), 25-47.

  98. Gittell, J. H., Cameron, K., Lim, S., & Rivas, V. (2006). Relationships, layoffs, and organizational resilience airline industry responses to September 11. The Journal of Applied Behavioral Science, 42(3), 300-329.

  99. Go, E., & You, K. H. (2016). But not all social media are the same: Analyzing organizations’ social media usage patterns. Telematics and Informatics, 33(1), 176-186.

  100. Godwin, I., & Amah, E. (2013). Knowledge management and organizational resilience in Nigerian manufacturing organizations. Developing Country Studies,3(9), 104-120.

  101. Goldman, S. L., & Nagel, R. N. (1993). Management, technology and agility: the emergence of a new era in manufacturing. International Journal of Technology Management, 8(1-2), 18-38.

  102. Gordon, J.E. (1978). Structures, Penguin Books Ltd, Harmondsworth, Middlesex, England.

  103. Grosjean, P. (2003). Speed Comparison of Various Number Crunching Packages (Version 2).

  104. Guan, L. (2009, August). An incremental updating algorithm of attribute reduction set in decision tables. In Fuzzy Systems and Knowledge Discovery, 2009. FSKD'09. Sixth International Conference on (Vol. 2, pp. 421-425). IEEE.

  105. Hainsworth, B. E. (1990). The distribution of advantages and disadvantages.Public Relations Review, 16(1), 33-39.

  106. Hamel, G., & Valikangas, L. (2003). The quest for resilience. Harvard business review, 81(9), 52-65.

  107. Heckerman, D., Uthurusamy, R., Mannila, H., & Pregibon, D. (1997). Proceedings of the 3rd International Conference on Knowledge Discovery and Data Mining. AAAI Press.

  108. Herrera, A., & Janczewski, L. (2014). Issues in the Study of Organisational Resilience in Cloud Computing Environments. Procedia Technology, 16, 32-41.

  109. Hochheiser, H., & Shneiderman, B. (2010). From bowling alone to tweeting together: technology-mediated social participation. Interactions, 17(2), 64-67.

  110. Holling, C. S. (1973). Resilience and stability of ecological systems. Annual review of ecology and systematics, 1-23.

  111. Hollnagel, E., Woods, D. D., & Leveson, N. (2007). Resilience engineering: Concepts and precepts. Ashgate Publishing, Ltd..

  112. Home, J. F., & Orr, J. E. (1997). Assessing behaviors that create resilient organizations. Employment Relations Today, 24(4), 29-39.

  113. Hsu, K. C., & Chu, C. H. (1989). Practical issues in designing knowledge-based expert systems. Computers & industrial engineering, 17(1), 61-66.

  114. Hu, Q., Zhang, L., Zhang, D., Pan, W., An, S., & Pedrycz, W. (2011). Measuring relevance between discrete and continuous features based on neighborhood mutual information. Expert Systems with Applications, 38(9), 10737-10750.

  115. Hu, Y., Zhang, C., Wang, Z., YE, H. M., ZHOU, A. M., HU, C. L., & WU, R. J. (2008). Leader formation model during public opinion formation in Internet. Journal-Sichuan University Natural Science Edition, 45(2), 347.

  116. Huang, C. C., & Kuo, C. M. (2003). The transformation and search of semi-structured knowledge in organizations. Journal of Knowledge management, 7(4), 106-123.

  117. Huang, C. C., & Tseng, T. L. B. (2004). Rough set approach to case-based reasoning application. Expert Systems with Applications, 26(3), 369-385.

  118. Huang, C. C., Fan, Y. N., Chern, C. C., & Yen, P. H. (2013). Measurement of analytical knowledge-based corporate memory and its application. Decision Support Systems, 54(2), 846-857.

  119. Huang, C. C., Tseng, T. L. B., & Kusiak, A. (2005). XML-based modeling of corporate memory. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 35(5), 629-640.

  120. Huang, C. C., Tseng, T. L. B., & Kusiak, A. (2005). XML-based modeling of corporate memory. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 35(5), 629-640.

  121. Huang, C. C., Tseng, T. L. B., (2008). Business intelligence: Analytical knowledge warehousing, Encyclopedia of Data Warehousing and Mining - 2nd Edition, John Wang (Ed.), IGI Global, Hershey, PA.

  122. Huang, C. C., Tseng, T. L. B., Li, M. Z., & Gung, R. R. (2006). Models of multi-dimensional analysis for qualitative data and its application. European journal of operational research, 174(2), 983-1008.

  123. Huang, S., Liu, Y., & Dang, D. (2014). Burst topic discovery and trend tracing based on Storm. Physica A: Statistical Mechanics and its Applications, 416, 331-339.

  124. Hung, H. C., Yang, C. Y., Chien, C. Y., & Liu, Y. C. (2016). Building resilience: Mainstreaming community participation into integrated assessment of resilience to climatic hazards in metropolitan land use management. Land Use Policy, 50, 48-58.

  125. Inmon, W. H., Zachman, J. A., & Geiger, J. G. (1997). Data Stores, Data Warehousing and the Zachman Framework: Managing Enterprise Knowledge. McGraw-Hill, Inc.

  126. Jang, H. J., Sim, J., Lee, Y., & Kwon, O. (2013). Deep sentiment analysis: Mining the causality between personality-value-attitude for analyzing business ads in social media. Expert Systems with Applications, 40(18), 7492-7503.

  127. Janssen, M. A., Schoon, M. L., Ke, W., & Börner, K. (2006). Scholarly networks on resilience, vulnerability and adaptation within the human dimensions of global environmental change. Global environmental change,16(3), 240-252.

  128. Jiang, H., Luo, Y., & Kulemeka, O. (2016). Leading in the digital age: A study of how social media are transforming the work of communication professionals.Telematics and Informatics, 33(2), 493-499.

  129. Jiang, L., Ge, B., Xiao, W., & Gao, M. (2013, November). BBS opinion leader mining based on an improved PageRank algorithm using MapReduce. InChinese Automation Congress (CAC), 2013 (pp. 392-396). IEEE.

  130. Jing, L., & Lizhen, X. (2014, September). Identification of Microblog Opinion Leader Based on User Feature and Interaction Network. In Web Information System and Application Conference (WISA), 2014 11th (pp. 125-130). IEEE.

  131. Johns, R., & English, R. (2016). Transition of self: Repositioning the celebrity brand through social media—The case of Elizabeth Gilbert. Journal of Business Research, 69(1), 65-72.

  132. Jussupova-Mariethoz, Y., & Probst, A. R. (2007). Business concepts ontology for an enterprise performance and competences monitoring. Computers in Industry, 58(2), 118-129.

  133. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business horizons, 53(1), 59-68.

  134. Katz, E. (1957). The two-step flow of communication: An up-to-date report on an hypothesis. Public opinion quarterly, 21(1), 61-78.

  135. Katz, E., & Lazarsfeld, P. F. (1955). Personal Influence, The part played by people in the flow of mass communications. Transaction Publishers.

  136. Keim, M. E., & Noji, E. (2010). Emergent use of social media: a new age of opportunity for disaster resilience. American journal of disaster medicine, 6(1), 47-54.

  137. Kharrazi, A., Sato, M., Yarime, M., Nakayama, H., Yu, Y., & Kraines, S. (2015). Examining the resilience of national energy systems: Measurements of diversity in production-based and consumption-based electricity in the globalization of trade networks. Energy Policy, 87, 455-464.

  138. Kidd, P. T. (1994). Agile Manufacturing: Forging New Frontiers. Wokingham, England. Reading, Massachusetts, Addison-Wesley.

  139. Kim, D. K. (2007). Identifying Opinion Leaders by Using Social Network Analysis: A Synthesis of Opinion Leadership Data Collection Methods and Instruments (Doctoral dissertation, Ohio University).

  140. Kim, H. G., Lee, S., & Kyeong, S. (2013, August). Discovering hot topics using Twitter streaming data social topic detection and geographic clustering. In Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on (pp. 1215-1220). IEEE.

  141. Kim, Y., Chen, Y. S., & Linderman, K. (2015). Supply network disruption and resilience: A network structural perspective. Journal of Operations Management, 33, 43-59.

  142. Kireyev, K., Palen, L., & Anderson, K. (2009, December). Applications of topics models to analysis of disaster-related twitter data. In NIPS Workshop on Applications for Topic Models: Text and Beyond (Vol. 1). Canada: Whistler.

  143. Kleinberg, J. M. (1999). Authoritative sources in a hyperlinked environment. Journal of the ACM (JACM), 46(5), 604-632.

  144. Kong, Q., Mao, W., Zeng, D., & Wang, L. (2014, September). Predicting Popularity of Forum Threads for Public Events Security. In Intelligence and Security Informatics Conference (JISIC), 2014 IEEE Joint (pp. 99-106). IEEE.

  145. Koronis, E., & Ponis, S. T. (2012). Introducing corporate reputation continuity to support organizational resilience against crises. Journal of Applied Business Research (JABR), 28(2), 283-290.

  146. Kotowicz, D. M. (2010). Building resilience to coastal disasters: An assessment of social resilience during recovery after the Indian Ocean tsunami in Thailand. University of Rhode Island.

  147. Koutrika, G., Zadeh, Z. M., & Garcia-Molina, H. (2009, March). Data clouds: summarizing keyword search results over structured data. In Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology (pp. 391-402). ACM.

  148. Krause, A., Leskovec, J., & Guestrin, C. (2006, June). Data association for topic intensity tracking. In Proceedings of the 23rd international conference on Machine learning (pp. 497-504). ACM.

  149. Kühn, O., & Abecker, A. (1998). Corporate memories for knowledge management in industrial practice: Prospects and challenges. In Information technology for knowledge management (pp. 183-206). Springer Berlin Heidelberg.

  150. Kuo, B. Y., Hentrich, T., Good, B. M., & Wilkinson, M. D. (2007, May). Tag clouds for summarizing web search results. In Proceedings of the 16th international conference on World Wide Web (pp. 1203-1204). ACM.

  151. Kusiak, A. (1999). Engineering design: products, processes, and systems. Academic Press, Inc.

  152. Kvan, T., & Candy, L. (2000). Designing collaborative environments for strategic knowledge in design. Knowledge-Based Systems, 13(6), 429-438.

  153. Lai, M. C., Huang, H. C., Lin, L. H., & Kao, M. C. (2011). Potential of organizational memory for creating service performance: A cross-level analysis. Expert Systems with Applications, 38(8), 10493-10498.

  154. Lam, C., & McKercher, B. (2013). The tourism data gap: The utility of official tourism information for the hospitality and tourism industry. Tourism Management Perspectives, 6, 82-94.

  155. Lampel, J., Bhalla, A., & Jha, P. P. (2014). Does governance confer organisational resilience? Evidence from UK employee owned businesses. European Management Journal, 32(1), 66-72.

  156. Laprie, J. C. (2005, July). Resilience for the scalability of dependability. InNetwork Computing and Applications, Fourth IEEE International Symposium on(pp. 5-6). IEEE.

  157. Lau, J. H., Collier, N., & Baldwin, T. (2012). On-line Trend Analysis with Topic Models:\# twitter Trends Detection Topic Model Online. In COLING (pp. 1519-1534).

  158. Lazarsfeld, P. F., Berelson, B., & Gaudet, H. (1968). The peoples choice: how the voter makes up his mind in a presidential campaign.

  159. Lempp, H. & Kingsley, G. (2007). Qualitative assessments, Best Practice & Research Clinical Rheumatology, 21(5), 857-869.

  160. Lengnick-Hall, C. A., Beck, T. E., & Lengnick-Hall, M. L. (2011). Developing a capacity for organizational resilience through strategic human resource management. Human Resource Management Review, 21(3), 243-255.

  161. Levin, S. A., Barrett, S., Aniyar, S., Baumol, W., Bliss, C., Bolin, B & Sheshinski, E. (1998). Resilience in natural and socioeconomic systems.Environment and development economics, 3(02), 221-262.

  162. Li, H., & Wei, J. (2010). Netnews bursty hot topic detection based on bursty features. Paper presented at the E-Business and E-Government (ICEE), 2010 International Conference on.

  163. Li, R., Lei, K. H., Khadiwala, R., & Chang, K. C. C. (2012, April). Tedas: A twitter-based event detection and analysis system. In Data engineering (icde), 2012 ieee 28th international conference on (pp. 1273-1276). IEEE.

  164. Limnios, E. A. M., Mazzarol, T., Ghadouani, A., & Schilizzi, S. G. (2014). The resilience architecture framework: Four organizational archetypes. European Management Journal, 32(1), 104-116.

  165. Lin, S. H., Chen, M. C., Ho, J. M., & Huang, Y. M. (2002). ACIRD: intelligent Internet document organization and retrieval. Knowledge and Data Engineering, IEEE Transactions on, 14(3), 599-614.

  166. Lin, S. H., Chu, K. P., & Chiu, C. M. (2011). Automatic sitemaps generation: Exploring website structures using block extraction and hyperlink analysis. Expert Systems with Applications, 38(4), 3944-3958.

  167. Linnenluecke, M. K., Griffiths, A., & Winn, M. (2012). Extreme weather events and the critical importance of anticipatory adaptation and organizational resilience in responding to impacts. Business Strategy and the Environment, 21(1), 17-32.

  168. Liu, G., & Ji, C. (2009). Scalability of network-failure resilience: analysis using multi-layer probabilistic graphical models. Networking, IEEE/ACM Transactions on, 17(1), 319-331.

  169. Liu, J., Hu, Q., & Yu, D. (2008). A weighted rough set based method developed for class imbalance learning. Information Sciences, 178(4), 1235-1256.

  170. Liu, K., Xu, J., Zhang, L., Ding, Z., & Li, M. (2013). Discovering hot topics from geo-tagged video. Neurocomputing, 105, 90-99.

  171. Liu, S. B. (2011, May). Digital commemoration: surveying the social media revival of historical crises. In CHI'11 Extended Abstracts on Human Factors in Computing Systems (pp. 947-952). ACM.

  172. Ma, N., & Liu, Y. (2014). SuperedgeRank algorithm and its application in identifying opinion leader of online public opinion supernetwork. Expert Systems with Applications, 41(4), 1357-1368.

  173. Mäkinen, H., Kaseva, J., Virkajärvi, P., & Kahiluoto, H. (2015). Managing resilience of forage crops to climate change through response diversity. Field Crops Research, 183, 23-30.

  174. Manovich, L. (2011). Trending: the promises and the challenges of big social data. Debates in the digital humanities, 460-475.

  175. Masten, A. S., Best, K. M., & Garmezy, N. (1991). Resilience and development: Contributions from the study of children who overcome adversity. Development and Psychopathology, 2, 425-444.

  176. Mattsson, L. G., & Jenelius, E. (2015). Vulnerability and resilience of transport systems: A discussion of recent research.

  177. McAfee, A., Brynjolfsson, E., Davenport, T. H., Patil, D. J., & Barton, D. (2012). Big data. The management revolution. Harvard Bus Rev, 90(10), 61-67.

  178. McCormick, B. H. (1987). Visualization in Scientifc Commputing. Computer Graphics, 21, 6. ACM SIGGRAPH: New York.

  179. McCubbin, H. I., & McCubbin, M. A. (1988). Typologies of resilient families: Emerging roles of social class and ethnicity. Family Relations, 37, 247-254.

  180. Mei, Q., Liu, C., Su, H., & Zhai, C. (2006, May). A probabilistic approach to spatiotemporal theme pattern mining on weblogs. In Proceedings of the 15th international conference on World Wide Web (pp. 533-542). ACM.

  181. Mendenhall, M. R. (2006). Corporate memory contribution to integrated design and analysis systems. Aeronautical Journal, 110(1106), 257-263.

  182. Meng, X., Bradley, J., Yavuz, B., Sparks, E., Venkataraman, S., Liu, D & Talwalkar, A. (2015). MLlib: Machine Learning in Apache Spark. arXiv preprint arXiv:1505.06807.

  183. Meng, X., Wei, F., Liu, X., Zhou, M., Li, S., & Wang, H. (2012, August). Entity-centric topic-oriented opinion summarization in twitter. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 379-387). ACM.

  184. Meng, X., Wei, F., Liu, X., Zhou, M., Li, S., & Wang, H. (2012, August). Entity-centric topic-oriented opinion summarization in twitter. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining (pp. 379-387). ACM.

  185. Merton, R. K. (1957). Social theory and social structure. Glencoe: Free Press.

  186. Miller, J. A., Potter, W. D. and Kochut, K. J. (1992), “Knowledge, data, and models: taking an objective orientation on integrating these three”, IEEE Potentials, Vol. 11, No. 4, pp. 13-17.

  187. Miller, K. (1999). Issues management: The link between organization reality and public perception. Public Relations Quarterly, 44(2), 5.

  188. Morley, C. L. (1998). A dynamic international demand model. Annals of Tourism Research, 25(1), 70-84.

  189. Muenchen, R. A. (2011). R for SAS and SPSS users. Springer Science & Business Media.

  190. Musick, J. S., Stott, F. M., Spencer, K. K., Goldman, J., & Cohler, B. J. (1987). Maternal factors related to vulnerability and resiliency in young children at risk. In E. J. Anthony & B. J. Cohler (Eds.), The Invulnerable Child (pp. 229-252). New York: Guilford Press.

  191. Myers, C. (2015). An analysis of social media ownership litigation between organizations and PR practitioners. Public Relations Review.

  192. Nguyen, T. H., Shirai, K., & Velcin, J. (2015). Sentiment analysis on social media for stock movement prediction. Expert Systems with Applications, 42(24), 9603-961

  193. Nonaka, I. (1991). The knowledge-creating company. Harvard business review, 69(6), 96-104.

  194. Nonaka, I., & Konno, N. (2005). The concept of “B, A”: building a foundation for knowledge creation. Knowledge management: critical perspectives on business and management, 2(3), 53.

  195. Östh, J., Reggiani, A., & Galiazzo, G. (2015). Spatial economic resilience and accessibility: a joint perspective. Computers, Environment and Urban Systems, 49, 148-159.

  196. Page, L., Brin, S., Motwani, R., & Winograd, T. (1999). The PageRank citation ranking: bringing order to the Web.

  197. Pal, R., Torstensson, H., & Mattila, H. (2014). Antecedents of organizational resilience in economic crises—an empirical study of Swedish textile and clothing SMEs. International Journal of Production Economics, 147, 410-428.

  198. Pan, S., Zhou, M. X., Song, Y., Qian, W., Wang, F., & Liu, S. (2013, March). Optimizing temporal topic segmentation for intelligent text visualization. InProceedings of the 2013 international conference on Intelligent user interfaces (pp. 339-350). ACM.

  199. Papapanagiotou, K., & Vlachos, D. (2012). Managing supply chain disruption risks: a game-theoretical approach. International Journal of Mathematics in Operational Research, 4(5), 515-530.

  200. Patrick, B. (2007). Comparison of R to SAS, Stata and SPSS. Retrieved 18 September 2013.

  201. Pawlak, Z. (1982). Rough sets. International Journal of Computer & Information Sciences, 11(5), 341-356.

  202. Pawlak, Z. (1984). Rough classification. International Journal of Man-Machine Studies, 20(5), 469-483.

  203. Pawlak, Z., & Skowron, A. (2007). Rudiments of rough sets. Information sciences, 177(1), 3-27.

  204. Perrings, C. (2006). Resilience and sustainable development. Environment and Development Economics, 11(04), 417-427.

  205. Perry, C. L., Klepp, K. I., Halper, A., Hawkins, D. G., & Murray, D. M. (1986). A process evaluation study of peer leaders in health education. Journal of School Health, 56, 62-67.

  206. Phuvipadawat, S., & Murata, T. (2010, August). Breaking news detection and tracking in Twitter. In Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on (Vol. 3, pp. 120-123). IEEE.

  207. Ponomarov, S. Y., & Holcomb, M. C. (2009). Understanding the concept of supply chain resilience. The International Journal of Logistics Management, 20(1), 124-143.

  208. Powley E.H. (2009). Reclaiming resilience and safety: Resilience activation in the critical period of crisis. Human Relations, Vol. 62(9), pp. 1289–1326.

  209. Rebolledo, M. R. (2005). Integrating rough sets and situation-based qualitative models for processes monitoring considering vagueness and uncertainty. Engineering Applications of Artificial Intelligence, 18(5), 617-632.

  210. REGESTER, M., & LARKIN, J. (2005). Risk Issues and Crisis Management, 3e éd.

  211. Reggiani, A., Nijkamp, P., & Lanzi, D. (2015). Transport resilience and vulnerability: the role of connectivity. Transportation Research Part A: Policy and Practice.

  212. Richards, D., & Compton, P. (1999). An alternative verification and validation technique for an alternative knowledge representation and acquisition technique. Knowledge-Based Systems, 12(1), 55-73.

  213. Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.

  214. Rutter, M. (1987). Psychosocial resilience and protective mechanisms.American journal of orthopsychiatry, 57(3), 316.

  215. Sandoval-Almazan, R., Valle-Cruz, D., Romero-Romero, A., & Guadarrama-Chavez, A. (2014, September). Social media effect inside university communication: a Mexican case. In Education Technologies and Computers (ICETC), 2014 The International Conference on (pp. 110-114). IEEE.

  216. Satyadas, A., Harigopal, U., & Cassaigne, N. P. (2001). Knowledge management tutorial: an editorial overview. Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 31(4), 429-437.

  217. Scannapieco, M., & Jackson, S. (1996). Kinship care: The African American response to family preservation. Social Work, 41(2), 190-196.

  218. Schaeffer-Filho, A., Smith, P., Mauthe, A., & Hutchison, D. (2014). Network resilience with reusable management patterns. Communications Magazine, IEEE, 52(7), 105-115.

  219. Schiippel, J., Miiller-Stewens, G., & Gomez, P. (1998). The knowledge spiral. Knowing in firms-understanding, managing and measuring knowledge (von Krogh, G., J. Roos and D. Klcine, ed.), 223-239.

  220. Selman, P. (1999). Three decades of environmental planning: What have we really learned: London: Routledge.

  221. Shaharudin, M. R., & Zailani, S. (2011, December). Sustainable services in Closed Loop Supply Chains (CLSCs). In Humanities, Science and Engineering (CHUSER), 2011 IEEE Colloquium on (pp. 871-876). IEEE.

  222. Sheffi, Y., & Rice Jr, J. B. (2005). A Supply Chain View of the Resilient Enterprise. MIT Sloan management review, 47(1).

  223. Shu, W., & Qian, W. (2015). An incremental approach to attribute reduction from dynamic incomplete decision systems in rough set theory. Data & Knowledge Engineering, 100, 116-132.

  224. Simoncini, L. (2008). Resilience assessment and dependability benchmarking: challenges of prediction. In DSN Workshop on Resilience Assessment and Dependability Benchmarking.

  225. Ślęzak, D. (2005). Rough sets and Bayes factor. In Transactions on Rough Sets III (pp. 202-229). Springer Berlin Heidelberg.

  226. Song, X., Chi, Y., Hino, K., & Tseng, B. (2007, November). Identifying opinion leaders in the blogosphere. In Proceedings of the sixteenth ACM conference on Conference on information and knowledge management (pp. 971-974). ACM.

  227. Spiegler, V. L., Naim, M. M., & Wikner, J. (2012). A control engineering approach to the assessment of supply chain resilience. International Journal of Production Research, 50(21), 6162-6187.

  228. Stein, E. W., & Zwass, V. (1995). Actualizing organizational memory with information systems. Information systems research, 6(2), 85-117.

  229. Sterbenz, J. P., Hutchison, D., Çetinkaya, E. K., Jabbar, A., Rohrer, J. P., Schöller, M., & Smith, P. (2010). Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines. Computer Networks, 54(8), 1245-1265.

  230. Strand, J. A., & Peacock, R. (2003). Resource guide: Cultural resilience. Tribal College, 14(4), 28.

  231. Sutcliffe, K. M., & Vogus, T. J. (2003). Organizing for resilience. Positive organizational scholarship: Foundations of a new discipline, 94, 110.

  232. Swanstrom, T. (2008). Regional resilience: a critical examination of the ecological framework. Institute of Urban & Regional Development.

  233. Thulstrup, A. W. (2015). Livelihood Resilience and Adaptive Capacity: Tracing Changes in Household Access to Capital in Central Vietnam. World Development, 74, 352-362.

  234. Tørning, K., Jaffari, Z., & Vatrapu, R. (2015, July). Current challenges in social media management. In Proceedings of the 2015 International Conference on Social Media & Society (p. 14). ACM.

  235. Trattner, C., & Kappe, F. (2013). Social stream marketing on Facebook: a case study. International Journal of Social and Humanistic Computing, 2(1-2), 86-103.

  236. Tseng, T. L. B. (1999). Quantitative approaches for information modeling. The University of Iowa

  237. Tsumoto, S. (1998). Automated extraction of medical expert system rules from clinical databases based on rough set theory. Information sciences, 112(1), 67-84.

  238. Ulrich, K. T., & Tung, K. (1991). Fundamentals of Product Modularity Issues in Design/Manufacture Integration, 73-79. Sharon, Ed. New York: ASME.

  239. URL Standard: http://www.bsigroup.com/zh-TW/ British Standard, BS65000:2014 Guidance on organizational resilience, 2014.

  240. URL TAV: http://www.tavinstitute.org/news/sts-socio-technical-systems-

2012-working-conference/

  1. Valente, T. W., & Davis, R. L. (1999). Accelerating the diffusion of innovations using opinion leaders. The Annals of the American Academy of Political and Social Science, 566(1), 55-67.

  2. Valente, T. W., & Pumpuang, P. (2007). Identifying opinion leaders to promote behavior change. Health Education & Behavior.

  3. Valente, T. W., Hoffman, B. R., Ritt-Olson, A., Lichtman, K., & Johnson, C. A. (2003). The effects of a social network method for group assignment strategies on peer led tobacco prevention programs in schools. American Journal of Public Health, 93, 1837-1843.

  4. Van Heijst, G., Van Der Spek, R., & Kruizinga, E. (1997). Corporate memories as a tool for knowledge management. Expert systems with applications, 13(1), 41-54.

  5. Verma, A., Tiwari, M. K., & Mishra, N. (2011). Minimizing time risk in on-line bidding: An adaptive information retrieval based approach. Expert Systems with Applications, 38(4), 3679-3689.

  6. Vogus, T.J. & Sutcliffe K.M. (2007). Organizational resilience: Towards a theory and research agenda, in proceedings of IEEE International Conference on Systems, Man and Cybernetics, 7-10 October, pp. 3418-3422.

  7. Walker, B., Holling, C. S., Carpenter, S. R., & Kinzig, A. (2004). Resilience, adaptability and transformability in social--ecological systems. Ecology and society, 9(2), 5.

  8. Wan, S., Paris, C., & Georgakopoulos, D. (2015, August). Social Media Data Aggregation and Mining for Internet-Scale Customer Relationship Management. In Information Reuse and Integration (IRI), 2015 IEEE International Conference on (pp. 39-48). IEEE.

  9. Wang, C., Zhang, M., Ru, L., & Ma, S. (2008, October). Automatic online news topic ranking using media focus and user attention based on aging theory. InProceedings of the 17th ACM conference on Information and knowledge management (pp. 1033-1042). ACM.

  10. Wang, M. C., Haertel, G. D., & Walberg, H. J. (1992, November). Education resilience in inner cities. Paper presented at the Invitational Conference on Resilience, Temple University, Philadelphia.

  11. Web Video Topics Discovery and Structuralization with Social Network. Neurocomputing

  12. Weng, J., & Lee, B. S. (2011). Event Detection in Twitter. ICWSM, 11, 401-408.

  13. Weng, J., Lim, E. P., Jiang, J., & He, Q. (2010, February). Twitterrank: finding topic-sensitive influential twitterers. In Proceedings of the third ACM international conference on Web search and data mining (pp. 261-270). ACM.

  14. Werner, E. E. (1991, July). Vulnerability and resiliency in children andfamilies: Focus on children with disabilities. Paper presented at the annual conference of the Center for Children at Risk, Johns Hopkins University, Baltimore.

  15. White, T. (2009). Hadoop: The Definitive Guide, O’Reilly Media

  16. Wong, S.K.M., Ziarko, W., & Ye, R.L. (1986). Comparison of rough-set and statistical methods in inductive learning. International Journal of Man-Machine Studies, 25(1), 53-72.

  17. WORLD BANK: World Bank/IMF (2012) Global Monitoring Report 2012: Food Prices, Nutrition, and the Millennium Development Goals. Washington DC: World Bank/International Monetary Fund.

  18. Yang, Y., Pierce, T., & Carbonell, J. (1998, August). A study of retrospective and on-line event detection. In Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval (pp. 28-36). ACM.

  19. Yao, Y., & Zhao, Y. (2008). Attribute reduction in decision-theoretic rough set models. Information sciences, 178(17), 3356-3373.

  20. Yates, D., & Paquette, S. (2011). Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake. International Journal of Information Management, 31(1), 6-13.

  21. Yi, S. R., (2012). The Design for Product Disassembly Based on Modularity Analysis, Thesis, Nation Chi Nan University, Taiwan.

  22. Yong, L., Congfu, X., & Yunhe, P. (2004, October). An incremental rule extracting algorithm based on Pawlak reduction. In Systems, Man and Cybernetics, 2004 IEEE International Conference on (Vol. 6, pp. 5964-5968). IEEE.

  23. Yong, L., Congfu, X., & Yunhe, P. (2004, October). An incremental rule extracting algorithm based on Pawlak reduction. In Systems, Man and Cybernetics, 2004 IEEE International Conference on (Vol. 6, pp. 5964-5968). IEEE.

  24. Young, S. D. (2014). Behavioral insights on big data: using social media for predicting biomedical outcomes. Trends in microbiology, 22(11), 601-602.

  25. Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.

  26. Zaharia, M., Chowdhury, M., Franklin, M. J., Shenker, S., & Stoica, I. (2010, June). Spark: cluster computing with working sets. In Proceedings of the 2nd USENIX conference on hot topics in cloud computing (Vol. 10, p. 10).

  27. Zalatan, A. (1998). Wives involvement in tourism decision processes. Annals of Tourism Research, 25(4), 890-903.

  28. Zhang, W., Chen, T., Li, G., Pang, J., Huang, Q., & Gao, W. (2015). Fusing cross-media for topic detection by dense keyword groups. Neurocomputing, 169, 169-179.

  29. Zhang, Z., Liu, Y., Ding, W., Huang, W. W., Su, Q., & Chen, P. (2015). Proposing a new friend recommendation method, FRUTAI, to enhance social media providers' performance. Decision Support Systems, 79, 46-54.

  30. Zhao, K., Kumar, A., Harrison, T. P., & Yen, J. (2011). Analyzing the resilience of complex supply network topologies against random and targeted disruptions. Systems Journal, IEEE, 5(1), 28-39.

  31. Zhao, Q., & Mitra, P. (2007). Event Detection and Visualization for Social Text Streams. In ICWSM.

  32. Zhao, Q., Mitra, P., & Chen, B. (2007, July). Temporal and information flow based event detection from social text streams. In AAAI (Vol. 7, pp. 1501-1506).

  33. Zhao, X., Jin, P., & Yue, L. (2015). Discovering topic time from web news. Information Processing & Management, 51(6), 869-890.

  34. Zhao, Y., & Yao, Y. (2008). Interactive data mining. VDM Publishing.

  35. Zhong, N., Dong, J. Z., Ohsuga, S., & Lin, T. Y. (1998, May). An incremental, probabilistic rough set approach to rule discovery. In Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on (Vol. 2, pp. 933-938). IEEE.

  36. Zhu, Q. (2013). Game-theoretic methods for security and resilience in cyber-physical systems (Doctoral dissertation, University of Illinois at Urbana-Champaign).

  37. Zhu, W. (2007). Topological approaches to covering rough sets. Information sciences, 177(6), 1499-1508.

  38. Zimmermann, H. J. (2010). Fuzzy set theory. Wiley Interdisciplinary Reviews: Computational Statistics, 2(3), 317-332.

  39. Ziyi, L., Jing, C. F. S., Donghong, S., & Yongfeng, H. (2013, May). Research on methods to identify the opinion leaders in Internet community. In Software Engineering and Service Science (ICSESS), 2013 4th IEEE International Conference on (pp. 934-937). IEEE.

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