Foundations and Novel Approaches in Data Mining

✍ Scribed by Tsau Young Lin, Setsuo Ohsuga, Churn-Jung Liau, Xiaohua Hu

Publisher: Springer
Year: 2006
Tongue: English
Leaves: 376
Series: Studies in Computational Intelligence 9
Edition: Softcover reprint of hardcover 1st ed. 2006
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

Data-mining has become a popular research topic in recent years for the treatment of the "data rich and information poor" syndrome. Currently, application oriented engineers are only concerned with their immediate problems, which results in an ad hoc method of problem solving. Researchers, on the other hand, lack an understanding of the practical issues of data-mining for real-world problems and often concentrate on issues that are of no significance to the practitioners. In this volume, we hope to remedy problems by (1) presenting a theoretical foundation of data-mining, and (2) providing important new directions for data-mining research. A set of well respected data mining theoreticians were invited to present their views on the fundamental science of data mining. We have also called on researchers with practical data mining experiences to present new important data-mining topics.

✦ Table of Contents

Foundations and Novel Approaches in Data Mining......Page p0001.djvu
Preface......Page p0006.djvu
Contents......Page p0010.djvu
Part I Theoretical Foundations......Page p0012.djvu
Commonsense Causal Modeling in the Data Mining Context......Page p0014.djvu
Definability of Association Rules in Predicate Calculus......Page p0034.djvu
A Measurement-Theoretic Foundation of Rule Interestingness Evaluation......Page p0052.djvu
Statistical Independence as Linear Dependence in a Contingency Table......Page p0071.djvu
Foundations of Classification......Page p0084.djvu
Data Mining as Generalization: A Formal Model......Page p0107.djvu
Part II Novel Approaches......Page p0135.djvu
SVM-OD: SVM Method to Detect Outliers......Page p0137.djvu
Extracting Rules from Incomplete Decision Systems: System ERID......Page p0150.djvu
Mining for Patterns Based on Contingency Tables by KL-Miner – First Experience......Page p0161.djvu
Knowledge Discovery in Fuzzy Databases Using Attribute-Oriented Induction......Page p0174.djvu
Rough Set Strategies to Data with Missing Attribute Values......Page p0202.djvu
Privacy-Preserving Collaborative Data Mining......Page p0218.djvu
Impact of Purity Measures on Knowledge Extraction in Decision Trees......Page p0233.djvu
Multidimensional On-line Mining......Page p0247.djvu
Quotient Space Based Cluster Analysis......Page p0262.djvu
Part III Novel Applications......Page p0273.djvu
Research Issues in Web Structural Delta Mining......Page p0275.djvu
Workflow Reduction for Reachable-path Rediscovery in Workflow Mining......Page p0290.djvu
Principal Component-based Anomaly Detection Scheme......Page p0312.djvu
Making Better Sense of the Demographic Data Value in the Data Mining Procedure......Page p0331.djvu
An Effective Approach for Mining Time-Series Gene Expression Profile......Page p0363.djvu

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