- ISBN 9780387333335 / 0387333339
- Title Data Mining: A Knowledge Discovery Approach
- Author Krzysztof J. Cios and Witold Pedrycz
- Category Machine Learning
Data Capture & Analysis
- Format Hardcover
- Year 2007
- Pages 624
- Publisher Springer
- Imprint Springer-Verlag New York Inc.
- Edition 1st
- Language English
- Dimensions 186mm x 33mm x 254mm
This comprehensive textbook on data mining details the unique steps of the knowledge discovery process - an industry standard that prescribes the sequence in which projects should be performed, from data understanding and preprocessing to deployment of the results.
This comprehensive textbook on data mining details the unique steps of the knowledge discovery process that prescribes the sequence in which data mining projects should be performed, from problem and data understanding through data 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 of relevant mathematical material.
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)