Overcoming many challenges, data mining has already established discipline capability in many domains.
Author(s): A. B. M. Shawkat Ali, Yang Xiang
Edition: 1
Year: 2009
Language: English
Pages: 497
Title......Page 2
Table of Contents......Page 4
Detailed Table of Contents......Page 7
Preface......Page 16
Data Mining Techniques for Web Personalization: Algorithms and Applications......Page 20
Patterns Relevant to the Temporal Data-Context of an Alarm of Interest......Page 37
ODARM:An Outlier Detection-Based Alert Reduction Model......Page 59
Concept-Based Mining Model......Page 76
Intrusion Detection Using Machine Learning: Past and Present......Page 89
A Re-Ranking Method of Search Results Based on Keyword and User Interest......Page 127
On the Mining of Cointegrated Econometric Models......Page 141
Spreading Activation Methods......Page 155
Pattern Discovery from Biological Data......Page 187
Introduction to Clustering: Algorithms and Applications......Page 243
Financial Data Mining Using Flexible ICA-GARCH Models......Page 274
Machine Learning Techniques for Network Intrusion Detection......Page 292
Fuzzy Clustering Based Image Segmentation Algorithms......Page 319
Bayesian Networks in the Health Domain......Page 361
Time Series Analysis and Structural Change Detection......Page 396
Application of Machine Learning Techniques for Railway Health Monitoring......Page 415
Use of Data Mining Techniques for Process Analysis on Small Databases......Page 441
Compilation of References......Page 456
About the Contributors......Page 501
Index......Page 508
