Data Mining Methods for Knowledge Discovery - Witold Pedrycz,Roman W. Swiniarski,Krzysztof J. Cios
-20% with code BOOKS
Shipping in 17-23 days
30-day return policy
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 dis ... Full description
You May Also Like
TOP
The Demon-Haunted World: Science as a Candle in the Dark
-20% with code BOOKS
In stock at our supplier
TOP
Many Faces, One Purpose: A Managers Handbook on Women in Firefighting
U. S. Fire Administration, Homeland Security
-20% with code BOOKS
Out of stock
TOP
The Gulf Moment: Arab Relations Since 2011
Florence Gaub, U. S. Army War College, Strategic Studies Institute
-20% with code BOOKS
Out of stock
TOP
Medizinisches Englisch pocket
-20% with code BOOKS
In stock at our supplier
TOP
How Africa Works: Success and Failure on the World's Last Developmental Frontier
-20% with code BOOKS
In stock at our supplier
TOP
The Code Book: The Science of Secrecy from Ancient Egypt to Quantum Cryptography
-20% with code BOOKS
In stock at our supplier
TOP
Introduction to Algorithms
Ronald L. Rivest, Charles E. Leiserson, Clifford Stein, Thomas H. Cormen
-20% with code BOOKS
In stock at our supplier
TOP
The Unaccountability Machine: Why Big Systems Make Terrible Decisions
-20% with code BOOKS
In stock at our supplier
TOP
Skin in the Game: Hidden Asymmetries in Daily Life
-20% with code BOOKS
In stock at our supplier
TOP
Dinosaurs and Prehistoric Life: The Definitive Visual Guide to Prehistoric Animals
-20% with code BOOKS
In stock at our supplier
TOP
Thinking in Systems: International Bestseller
-20% with code BOOKS
In stock at our supplier
TOP
Crossing Borders: About the birth of the Consortium of European Research Libraries, the organisation's early years and its path to maturity, spanning the period from the late twentieth century to the first decades of the twenty-first century
-20% with code BOOKS
In stock at our supplier
TOP
Cybernetics: Second Edition: Or the Control and Communication in the Animal and the Machine
-20% with code BOOKS
In stock at our supplier
TOP
Empty Vessel: The Story of the Global Economy in One Barge
-20% with code BOOKS
In stock at our supplier
TOP
101 Things I Learned in Architecture School
-20% with code BOOKS
In stock at our supplier
TOP
Einhundert Zitate Female Edition: Ein Postkartenbuch mit 100 Zitaten
-20% with code BOOKS
In stock at our supplier
TOP
Only Dull People Are Brilliant at Breakfast
-20% with code BOOKS
In stock at our supplier
Description
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.
More Information
| Author | Witold Pedrycz, Roman W. Swiniarski, Krzysztof J. Cios |
|---|---|
| Publisher | Springer US |
| Series | The Springer International Series in Engineering and Computer Science |
| Release year | 1998 |
| Cover type | Hardcover |
| EAN | 9780792382522 |