Data Mining (eBook)

Concepts, Models, Methods, and Algorithms

Mehmed Kantardzic (Autor)

eBook Download: EPUB

2011 | 2. Auflage
520 Seiten
Wiley (Verlag)
978-1-118-02913-8 (ISBN)

Infos

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 methodologies developed in recent decades. If you are an instructor or professor and would like to obtain instructor s materials, please visit http://booksupport.wiley.com If you are an instructor or professor and would like to obtain a solutions manual, please send an email to: [e-mail]

Autor

MEHMED KANTARDZIC, PhD, is a professor in the Department of Computer Engineering and Computer Science (CECS) in the Speed School of Engineering at the University of Louisville, Director of CECS Graduate Studies, as well as Director of the Data Mining Lab. A member of IEEE, ISCA, and SPIE, Dr. Kantardzic has won awards for several of his papers, has been published in numerous referred journals, and has been an invited presenter at various conferences. He has also been a contributor to numerous books.

Inhalt

Preface.

1. Data Mining Concepts.

2. Preparing the Data.

3. Data Reduction.

4. Learning from Data.

5. Statistical Methods.

6. Decision Trees & Decision Rules.

7. Neural Networks.

8. Ensemble Learning.

9. Cluster Analysis.

10. Association Rules.

11. Web Mining & Text Mining.

12. Advances in Data Mining.

13. Genetic Algorithms.

14. Fuzzy Systems.

15. Visualization Methods.

16. References.

Appendix A: Data mining tools.

Appendix B: Data mining applications.

Rezensionen

"I therefore gladly salute the second editing of thislovely and valuable book. Researchers, students as well as industryprofessionals can find the reasons, means and practice to make useof essential data mining methodologies to help theirinterests." (Zentralblatt MATH, 2012)

Produkt-Details

• Erscheint lt. Verlag: 4.8.2011
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Datenbanken
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Computer Science • Database & Data Warehousing Technologies • Data Mining • Data Mining Statistics • Datenbanken u. Data Warehousing • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Informatik • Intelligente Systeme u. Agenten • Intelligent Systems & Agents • Statistics • Statistik
• ISBN-10: 1-118-02913-5 / 1118029135
• ISBN-13: 978-1-118-02913-8 / 9781118029138