Data Mining Methods for Knowledge Discovery

1. Front Matter

   Pages i-xxi

   PDF

2. Data Mining and Knowledge Discovery

   • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski

   Pages 1-26

3. Rough Sets

   • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski

   Pages 27-71

4. Fuzzy Sets

   • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski

   Pages 73-129

5. Bayesian Methods

   • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski

   Pages 131-191

6. Evolutionary Computing

   • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski

   Pages 193-227

7. Machine Learning

   • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski

   Pages 229-308

8. Neural Networks

   • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski

   Pages 309-374

9. Clustering

   • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski

   Pages 375-429

10. Preprocessing

    • Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski

    Pages 431-489

11. Back Matter

    Pages 491-495

    PDF

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process of knowledge discovery. This book first elaborates on the fundamentals of each of the data mining methods: rough sets, Bayesian analysis, fuzzy sets, genetic algorithms, machine learning, neural networks, and preprocessing techniques. The book then goes on to thoroughly discuss these methods in the setting of the overall process of knowledge discovery. Numerous illustrative examples and experimental findings are also included. Each chapter comes with an extensive bibliography.
Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate students, as well as a broad audience of professionals in computer and information sciences, medical informatics, and business information systems.

• algorithms
• data mining
• evolution
• evolutionary computation
• fuzzy
• fuzzy sets
• genetic algorithms
• information
• information system
• knowledge
• knowledge discovery
• learning
• machine learning
• networks
• neural networks

• University of Toledo, Toledo, USA

  Krzysztof J. Cios

• University of Manitoba, Winnipeg, Canada

  Witold Pedrycz

• San Diego State University, San Diego, USA

  Roman W. Swiniarski

Policies and ethics