Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches, 1st Edition

  • Published By:
  • ISBN-10: 1605669091
  • ISBN-13: 9781605669090
  • DDC: 303.48
  • Grade Level Range: College Freshman - College Senior
  • 333 Pages | eBook
  • Original Copyright 2009 | Published/Released June 2010
  • This publication's content originally published in print form: 2009

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Table of Contents

Front Cover.
Title Page.
Copyright Page.
Table of Contents.
Detailed Table of Contents.
Preface.
1: Data Mining Techniques for Web Personalization: Algorithms and Applications.
2: Patterns Relevant to the Temporal Data-Context of an Alarm of Interest.
3: ODARM: An Outlier Detection-Based Alert Reduction Model.
4: Concept—Based Mining Model.
5: Intrusion Detection Using Machine Learning: Past and Present.
6: A Re-Ranking Method of Search Results Based on Keyword and User Interest.
7: On the Mining of Cointegrated Econometric Models.
8: Spreading Activation Methods.
9: Pattern Discovery from Biological Data.
10: Introduction to Clustering: Algorithms and Applications.
11: Financial Data Mining Using Flexible ICA—GARCH Models.
12: Machine Learning Techniques for Network Intrusion Detection.
13: Fuzzy Clustering Based Image Segmentation Algorithms.
14: Bayesian Networks in the Health Domain.
15: Time Series Analysis and Structural Change Detection.
16: Application of Machine Learning Techniques for Railway Health Monitoring.
17: Use of Data Mining Techniques for Process Analysis on Small Databases.
Compilation of References.
About the Contributors.
Index.