
- 434 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
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
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Yes, you can access Contrast Data Mining by Guozhu Dong,James Bailey in PDF and/or ePUB format, as well as other popular books in Economics & Data Mining. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Cover
- Half Title
- Chapman & Hall/CRC
- Title Page
- Copyright Page
- Dedication
- Contents
- Foreword
- Preface
- Part I: Preliminaries and Statistical Contrast Measures
- Part II: Contrast Mining Algorithms
- Part III: Generalized Contrasts, Emerging Data Cubes, and Rough Sets
- Part IV: Contrast Mining for Classification & Clustering
- Part V: Contrast Mining for Bioinformatics and Chemoinformatics
- Part VI: Contrast Mining for Special Domains
- Part VII: Survey of Other Papers
- Bibliography
- Index