ABSTRACT
A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and
TABLE OF CONTENTS
part 1|2 pages
Part I: Preliminaries and Statistical Contrast Measures
part 2|2 pages
Part II: Contrast Mining Algorithms
part 3|2 pages
Part III: Generalized Contrasts, Emerging Data Cubes, and Rough Sets
part 4|2 pages
Contrast Mining for Classification & Clustering
part 5|2 pages
Part V: Contrast Mining for Bioinformatics and Chemoinformatics
part 6|2 pages
Part VI: Contrast Mining for Special Domains
part 7|2 pages
Part VII: Survey of Other Papers
