Data mining : concepts, models, methods, and algorithms / Mehmed Kantardzic.
Material type: TextLanguage: English Publication details: Hoboken, N.J. : IEEE John Wiley, 2011.Edition: 2nd edDescription: xvii, 534 p. : ill. ; 25 cmISBN:- 9780470890455 (cloth)
- 9788126570348
- 006.312 23 KAN
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
General Books | CUTN Central Library Generalia | Non-fiction | 006.312 KAN (Browse shelf(Opens below)) | Available | 36771 |
Data-Mining Concepts
Preparing the Data
Data Reduction
Learning from Data
Statistical Methods
Decision Trees and Decision Rules
Artificial Neural Networks
Ensemble Learning
Cluster Analysis
Association Rules
Web Mining and Text Mining
Advances in Data Mining
Genetic Algorithms
Fuzzy sets and Fuzzy Logic
Visualization Methods
This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and
Includes bibliographical references and index.
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