Krzysztof J. Cios, Witold Pedrycz, Roman W. Swiniarski, Lukasz Andrzej Kurgan

eBook, PDF

Data Mining (eBook, PDF)

A Knowledge Discovery Approach

Beschreibung

This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which projects should be performed, from data understanding and preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes Data Mining from other texts in this area. The book provides a suite of exercises and includes links to instructional presentations. Furthermore, it contains appendices covering relevant mathematical material.

The authors' experience and expertise ensure that this text will be an authoritative instructional tool. Researchers, practitioners and students are certain to consider this text an indispensable resource in successfully accomplishing the goals of their data mining projects.

Technische Details

• Geräte: PC
• ohne Kopierschutz
• Größe: 13.07MB

Barrierefreiheit

• Text-to-Speech

Autor

Krzysztof J. Cios, University of Colorado at Denver, CO, USA / Witold Pedrycz, University of Alberta, Edmonton, AB, Canada / Roman W. Swiniarski, San Diego State University, San Diego, CA, USA / Lukasz Andrzej Kurgan, University of Alberta, Edmonton, AB, Canada

Produktdetails

• Verlag: Springer New York
• Seitenzahl: 606
• Erscheinungstermin: 5. Oktober 2007
• Englisch
• ISBN-13: 9780387367958
• Artikelnr.: 43730034

Rezensionen

From the reviews: "This is a comprehensive book about knowledge discovery methods. ... the book is highly recommended to final year undergraduate students, postgraduate students and lecturers. ... it has a good balance of various topics making it a good reference book for practitioners, such as data modellers, insight analysts, fraud analysts, etc., as well as researchers. ... this book is very well organized and presented. ... I would certainly recommend it to those with intermediate or advanced understanding of data-mining topics." (Boran Gazi, The Computer Journal, Vol. 53 (4), 2010)