Heuristics and optimization for knowledge discovery

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 th...

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Bibliographic Details
Corporate Author: IGI Global.
Other Authors: Sarker, Ruhul A., Abbass, Hussein A., Newton, Charles S. 1942-
Format: Electronic
Language:English
Published: Hershey, Pa. : IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA), c2002.
Subjects:
Online Access:View fulltext via EzAccess
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245 0 0 |a Heuristics and optimization for knowledge discovery  |c [edited by] Ruhul A. Sarker, Hussein A. Abbass, Charles S. Newton.  |h [electronic resource] / 
246 1 4 |a Heuristics & optimization for knowledge discovery. 
260 # # |a Hershey, Pa. :  |b IGI Global (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA),  |c c2002. 
300 # # |a electronic texts (iii, 290 p. : ill.) :  |b digital files. 
504 # # |a Includes bibliographical references and index. 
505 0 # |a 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 ... [et al.] -- 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 ... [et al.] -- Heuristic knowledge discovery for archaeological data using genetic algorithms and rough sets / Alina Lazar. 
506 # # |a Restricted to subscribers or individual electronic text purchasers. 
520 3 # |a 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. 
530 # # |a Also available in print. 
538 # # |a Mode of access: World Wide Web. 
588 # # |a Title from PDF t.p. (viewed on June 16, 2010). 
650 # 0 |a Heuristic programming. 
650 # 0 |a Combinatorial optimization. 
700 1 # |a Sarker, Ruhul A. 
700 1 # |a Abbass, Hussein A. 
700 1 # |a Newton, Charles S.  |d 1942-  |q (Charles Sinclair), 
710 2 # |a IGI Global. 
776 0 # |c (Original)  |w (DLC) 2001039720  |z 9781930708266  |z 1930708262 
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