Association Rules | |
OLEMAR: An Online Environment for Mining Association Rules in Multidimensional Data | p. 1 |
Current Interestingness Measures for Association Rules: What Do They Really Measure? | p. 36 |
Mining Association Rules from XML Data | p. 59 |
A Lattice-Based Framework for Interactively and Incrementally Mining Web Traversal Patterns | p. 72 |
Clustering and Classification | |
Determination of Optimal Clusters Using a Genetic Algorithm | p. 98 |
K-Means Clustering Adopting rbf-Kernel | p. 118 |
Advances in Classification of Sequence Data | p. 143 |
Using Cryptography for Privacy-Preserving Data Mining | p. 175 |
Domain Driven and Model Free | |
Domain Driven Data Mining | p. 196 |
Model Free Data Mining | p. 224 |
Issues and Applications | |
Minimizing the Minus Sides of Mining Data | p. 254 |
Study of Protein-Protein Interactions from Multiple Data Sources | p. 280 |
Data Mining in the Social Sciences and Iterative Attribute Elimination | p. 308 |
A Machine Learning Approach for One-Stop Learning | p. 333 |
Index | p. 367 |
Table of Contents provided by Blackwell. All Rights Reserved. |
The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.