A Combined Web Mining Model and Its Application in Crisis Management

Authors:
Xingsen Li;Lingling Zhang;Maoliang Ding;Yong Shi;Jun Li
Affiliations:
School of Management, Graduate University of the Chinese Academy of Sciences, Beijing, 100080, ;School of Management, Graduate University of the Chinese Academy of Sciences, Beijing, 100080, and The CAS Research Center on Data Technology & Knowledge Economy Beijing, 100080, ;Information center, Shandong Jinjing Group, Zibo, 255200, ;The CAS Research Center on Data Technology & Knowledge Economy Beijing, 100080, and Graduate University of the Chinese Academy of Sciences, Beijing, 100080, ;School of Management, Graduate University of the Chinese Academy of Sciences, Beijing, 100080,
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

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Abstract

Crisis management is an increasingly important activity of management. Organizations' critical crises can induce severe consequences or even disasters if wrong decisions are made. The World Wide Web provides an unprecedented freedom for the public to discuss one's opinions which impact much on the progress of the crisis. Based on the study of web mining and its relative techniques, a combined web mining model was presented. It consists of web mining, text mining, data mining and human experience knowledge. All knowledge from each part was saved in database through a knowledge management platform. Its application shows that utilizing the combined model for crisis management can improve the quality of decisions.