Knowledge Discovery and Data Mining - O. Maimon, M. Last

Knowledge Discovery and Data Mining

The Info-Fuzzy Network (IFN) Methodology

, (Autoren)

Buch | Softcover
168 Seiten
2010 | Softcover reprint of hardcover 1st ed. 2001
Springer-Verlag New York Inc.
978-1-4419-4842-7 (ISBN)
106,99 inkl. MwSt
This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£).
This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book's web site (http://www.eng.tau.ac.iV-maimonlifn-kdg£). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as manufacturing, finance, health care, medicine, insurance, and human resources. The appendices expand on the relevant theoretical background and present descriptions of sample projects (including detailed results).

I Information-Theoretic Approach to Knowledge Discovery.- 1 Introduction.- 2 Automated Data Pre-Processing.- 3 Information-Theoretic Connectionist Networks.- 4 Post-Processing of Data Mining Results.- II Application Methodology and Case Studies.- 5 Methodology of Application.- 6 Case Studies.- III Comparative Study and Advanced Issues.- 7 Comparative Study.- 8 Advanced data mining methods.- 9 Summary and Some Open Problems.- Appendix A.- 1. Entropy H(X).- 2. Joint Entropy and Conditional Entropy.- 3. Relative Entropy and Mutual Information.- Appendix B.- 1. Breast Cancer Database.- 2. Chess Endgames.- 3. Credit Approval Database.- 4. Diabetes Database.- 5. Glass Identification Database.- 6. Heart Disease (Cleveland) Database.- 7. Iris Plants Database.- 8. Liver Database.- 9. Lung Cancer Database.- 10. Wine Database.

Erscheint lt. Verlag 7.12.2010
Reihe/Serie Massive Computing ; 1
Zusatzinfo XVII, 168 p.
Verlagsort New York, NY
Sprache englisch
Maße 155 x 235 mm
Themenwelt Informatik Theorie / Studium Algorithmen
Informatik Theorie / Studium Kryptologie
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Allgemeines / Lexika
ISBN-10 1-4419-4842-2 / 1441948422
ISBN-13 978-1-4419-4842-7 / 9781441948427
Zustand Neuware
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