Data Mining is the science and technology of exploring data in
order to discover previously unknown patterns. It is a part of the
overall process of Knowledge Discovery in Databases (KDD). The
accessibility and abundance of information today makes data mining
a matter of considerable importance and necessity. This book
provides an introduction to the field with an emphasis on advanced
decomposition methods in general data mining tasks and for
classification tasks in particular. The book presents a complete
methodology for decomposing classification problems into smaller
and more manageable sub-problems that are solvable by using
existing tools. The various elements are then joined together to
solve the initial problem.The benefits of decomposition methodology
in data mining include: increased performance (classification
accuracy); conceptual simplification of the problem; enhanced
feasibility for huge databases; clearer and more comprehensible
results; reduced runtime by solving smaller problems and by using
parallel/distributed computation; and the opportunity of using
different techniques for individual sub-problems.
General
Imprint: |
World Scientific Publishing Co Pte Ltd
|
Country of origin: |
Singapore |
Series: |
Series In Machine Perception And Artificial Intelligence, 61 |
Release date: |
May 2005 |
First published: |
May 2005 |
Authors: |
Oded Z Maimon
• Lior Rokach
|
Dimensions: |
234 x 158 x 24mm (L x W x T) |
Format: |
Hardcover
|
Pages: |
344 |
ISBN-13: |
978-981-256-079-7 |
Categories: |
Books >
Science & Mathematics >
Mathematics >
Numerical analysis
|
LSN: |
981-256-079-3 |
Barcode: |
9789812560797 |
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