Book: Contrast Data Mining:
Concepts, Algorithms, and Applications

This book shows many useful and powerful capabilities of contrast mining techniques and algorithms, including tree-based structures, zero-suppressed binary decision diagrams, data cube representations, and clustering algorithms, with applications to biology, image classification, crime analysis, and more.

Contrast Data Mining: Concepts, Algorithms, and Applications

Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series

Published: Sep 2012 by Chapman and Hall/CRC - 434 Pages

Editor(s): Guozhu Dong, Wright State University, Dayton, Ohio, USA; James Bailey, The University of Melbourne, Victoria, Australia

Features

Provides the first comprehensive book on contrast mining and applications
Presents contrast mining algorithms and measures on contrast patterns
Covers contrast pattern-based classification, clustering, outlier detection, and enhancement of traditional classifiers
Describes applications of contrast mining in bioinformatics and chemoinformatics, including an importance index of genes based on their interactions
Includes applications of contrast mining for the analysis of images, sequences, graphs, texts, geospatial data, diseases, activity recognition, crime locations, and power line safety

For more information, visit www.crcpress.com/product/isbn/9781439854327

Book: Contrast Data Mining:Concepts, Algorithms, and Applications

Book: Contrast Data Mining:
Concepts, Algorithms, and Applications