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Active Mining : New Directions of Data Mining - H. Motoda

Active Mining

New Directions of Data Mining

By: H. Motoda (Editor)

Hardcover Published: 1st July 2002
ISBN: 9781586032647
Number Of Pages: 304

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The need for collecting relevant data sources, mining useful knowledge from different forms of data sources and promptly reacting to situation change is ever increasing. Active mining is a collection of activities each solving a part of this need, but collectively achieving the mining objective through the spiral effect of these interleaving three steps. This book is a joint effort from leading and active researchers in Japan with a theme about active mining and a timely report on the forefront of data collection, user-centered mining and user interaction/reaction. It offers a contemporary overview of modern solutions with real-world applications, shares hard-learned experiences, and sheds light on future development of active mining.

Preface
Acknowledgments
Toward Active Mining from On-line Scientific Text Abstracts Using Pre-existing Sourcesp. 3
Data Mining on the WAVEs - Word-of-mouth-Assisting Virtual Environmentsp. 11
Immune Network-based Clustering for WWW Information Gathering/Visualizationp. 21
Interactive Web Page Retrieval with Relational Learning-based Filtering Rulesp. 31
Monitoring Partial Update of Web Pages by Interactive Relational Learningp. 41
Context-based Classification of Technical Terms Using Support Vector Machinesp. 51
Intelligent Tickers: An Information Integration Scheme for Active Information Gatheringp. 61
Discovery of Concept Relation Rules Using an Incomplete Key Concept Dictionaryp. 73
Mining Frequent Substructures from Webp. 83
Towards the Discovery of Web Communities from Input Keywords to a Search Enginep. 95
Temporal Spatial Index Techniques for OLAP in Traffic Data Warehousep. 103
Knowledge Discovery from Structured Data by Beam-wise Graph-Based Inductionp. 115
PAGA Discovery: A Worst-Case Analysis of Rule Discovery for Active Miningp. 127
Evaluating the Automatic Composition of Inductive Applications Using StatLog Repository of Data Setp. 139
Fast Boosting Based on Iterative Data Squashingp. 151
Reducing Crossovers in Reconciliation Graphs Using the Coupling Cluster Exchange Method with a Genetic Algorithmp. 163
Outlier Detection using Cluster Discriminant Analysisp. 175
Evidence-Based Medicine and Data Mining: Developing a Causal Model via Meta-Learning Methodologyp. 187
KeyGraph for Classifying Web Communitiesp. 195
Case Generation Method for Constructing an RDR Knowledge Basep. 205
Acquiring Knowledge from Both Human Experts and Accumulated Data in an Unstable Environmentp. 217
Active Participation of Users with Visualization Tools in the Knowledge Discovery Processp. 229
The Future Direction of Active Mining in the Business Worldp. 239
Topographical Expression of a Rule for Active Miningp. 247
The Effect of Spatial Representation of Information on Decision Making in Purchasep. 259
A Hybrid Approach of Multiscale Matching and Rough Clustering to Knowledge Discovery in Temporal Medical Databasesp. 269
Meta Analysis for Data Miningp. 279
Author Indexp. 291
Table of Contents provided by Blackwell. All Rights Reserved.

ISBN: 9781586032647
ISBN-10: 158603264X
Series: Frontiers in Artificial Intelligence and Applications
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 304
Published: 1st July 2002
Publisher: IOS Press
Country of Publication: US
Dimensions (cm): 23.4 x 15.6  x 1.7
Weight (kg): 0.6