Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-72588-6_145 | International Conference on Computational Science (3) |
Keywords | Field | DocType |
data mining,combined web mining model,crisis management,human experience knowledge,text mining,knowledge management platform,world wide web,critical crisis,web mining,combined model,knowledge management | Data science,World Wide Web,Text mining,Web mining,Web intelligence,Computer science,Crisis management | Conference |
Volume | ISSN | Citations |
4489 | 0302-9743 | 2 |
PageRank | References | Authors |
0.44 | 4 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xingsen Li | 1 | 129 | 19.88 |
| Lingling Zhang | 2 | 276 | 45.79 |
| Maoliang Ding | 3 | 2 | 0.44 |
| Yu Shi | 4 | 3208 | 264.97 |
| Jun Li | 5 | 5 | 2.37 |