The Resource Heuristics and optimization for knowledge discovery, [edited by] Ruhul A. Sarker, Hussein A. Abbass, Charles S. Newton

Heuristics and optimization for knowledge discovery, [edited by] Ruhul A. Sarker, Hussein A. Abbass, Charles S. Newton

Label
Heuristics and optimization for knowledge discovery
Title
Heuristics and optimization for knowledge discovery
Statement of responsibility
[edited by] Ruhul A. Sarker, Hussein A. Abbass, Charles S. Newton
Title variation
Heuristics & optimization for knowledge discovery
Contributor
Subject
Language
eng
Summary
With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic techniques. This book addresses the foundation of this topic, as well as its practical uses, and aims to fill in the gap that exists in current literature
Cataloging source
QE2
Dewey number
006.3
Illustrations
illustrations
Index
index present
LC call number
T57.84
LC item number
.H48 2002e
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Target audience
  • adult
  • specialized
Label
Heuristics and optimization for knowledge discovery, [edited by] Ruhul A. Sarker, Hussein A. Abbass, Charles S. Newton
Publication
Note
Title from PDF title page (viewed June 16, 2010)
Bibliography note
Includes bibliographical references and index
http://library.link/vocab/branchCode
  • net
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
Introducing data mining and knowledge discovery / R. Sarker, H. Abbass, C. Newton -- A heuristic algorithm for feature selection based on optimization techniques / A.M. Bagirov, A.M. Rubinov, J. Yearwood -- Cost-sensitive classification using decision trees, boosting and metacost / Kai Mai Ting -- Heuristic search-based stacking of classifiers / Agapito Ledezma, Ricardo Aler, Daniel Borrajo -- Designing component-based heuristic search engines for knowledge discovery / Craig M. Howard -- Clustering mixed incomplete data / José Ruiz-Shulcloper, Guillermo Sánchez-Díaz, Mongi A. Abidi -- Bayesian learning / Paula Macrossan, Kerrie Mengersen -- How size matters: the role of sampling in data mining / Paul D. Scott -- The gamma test / Antonia J. Jones [and others] -- Neural NetworksTheir Use and Abuse for Small Data Sets / Denny Meyer -- How to train multilayer perceptrons efficiently with large data sets / Hyeyoung Park -- Cluster analysis of marketing data examining on-line shopping orientation: a comparison of k-means and rough clustering approaches / Kevin E. Voges, Nigel K. Ll. Pope, Mark R. Brown -- Heuristics in medical data mining / Susan E. George -- Understanding credit card user's behaviour: a data mining approach / A. de Carvalho [and others] -- Heuristic knowledge discovery for archaeological data using genetic algorithms and rough sets / Alina Lazar
Control code
ocn707611436
Extent
1 online resource (electronic texts (iii, 290 pages
Form of item
online
Isbn
9781591400172
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.4018/978-1-93070-826-6
Other physical details
illustrations))
http://library.link/vocab/recordID
.b36711391
Specific material designation
remote
System control number
  • (OCoLC)707611436
  • infosci1591400171

Library Locations

    • Deakin University Library - Geelong Waurn Ponds CampusBorrow it
      75 Pigdons Road, Waurn Ponds, Victoria, 3216, AU
      -38.195656 144.304955
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