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Automating the Design of Data Mining Algorithms (Record no. 21539)

000 -LEADER
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003 - CONTROL NUMBER IDENTIFIER
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310151117.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100301s2010 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783642025419
978-3-642-02541-9
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Edition number 23
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg,
-- 2010.
912 ## -
-- ZDB-2-SCS
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Pappa, Gisele L.
Relator term author.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Automating the Design of Data Mining Algorithms
Medium [electronic resource] :
Remainder of title An Evolutionary Computation Approach /
Statement of responsibility, etc by Gisele L. Pappa, Alex Freitas.
300 ## - PHYSICAL DESCRIPTION
Extent XIII, 187p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Natural Computing Series,
International Standard Serial Number 1619-7127
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Data Mining -- Evolutionary Algorithms -- Genetic Programming for Classification and Algorithm Design -- Automating the Design of Rule Induction Algorithms -- Computational Results on the Automatic Design of Full Rule Induction Algorithms -- Directions for Future Research on the Automatic Design of Data Mining Algorithms.
520 ## - SUMMARY, ETC.
Summary, etc Traditionally, evolutionary computing techniques have been applied in the area of data mining either to optimize the parameters of data mining algorithms or to discover knowledge or patterns in the data, i.e., to directly solve the target data mining problem. This book proposes a different goal for evolutionary algorithms in data mining: to automate the design of a data mining algorithm, rather than just optimize its parameters. The authors first offer introductory overviews on data mining, focusing on rule induction methods, and on evolutionary algorithms, focusing on genetic programming. They then examine the conventional use of evolutionary algorithms to discover classification rules or related types of knowledge structures in the data, before moving to the more ambitious objective of their research, the design of a new genetic programming system for automating the design of full rule induction algorithms. They analyze computational results from their automatically designed algorithms, which show that the machine-designed rule induction algorithms are competitive when compared with state-of-the-art human-designed algorithms. Finally the authors examine future research directions. This book will be useful for researchers and practitioners in the areas of data mining and evolutionary computation.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
Topical term or geographic name as entry element Data mining.
Topical term or geographic name as entry element Artificial intelligence.
Topical term or geographic name as entry element Computer Science.
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Freitas, Alex.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783642025402
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-02541-9
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-14AUM Main Library2014-04-14 2014-04-14 E-Book   AUM Main Library006.312

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