Heuristics and optimization for knowledge discovery

著者

書誌事項

Heuristics and optimization for knowledge discovery

Ruhul A. Sarker, Hussein A. Abbass, Charles S. Newton

Idea Group Pub., c2002

  • : cloth

タイトル別名

Heuristics & optimization for knowledge discovery

大学図書館所蔵 件 / 全6件

この図書・雑誌をさがす

注記

Includes bibliographical references and index

内容説明・目次

内容説明

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. Heuristic and Optimization for Knowledge Discovery addresses the foundation of this topic, as well as its practical uses, and aims to fill in the gap that exists in current literature.

目次

  • Heuristic and Optimization for Knowledge Discovery
  • A Heuristic Algorithm for Feature Selection Based on Optimization Techniques
  • Cost-Sensitive Classification using Decision Trees, Boosting and MetaCost
  • Heuristic Search-Based Stacking of Classifiers
  • Designing Component-Based Heuristic Search Engines for Knowledge Discovery
  • Clustering Mixed Incomplete Data
  • Bayesian Learning
  • The Role of Sampling in Data Mining
  • The Gamma Test
  • Neural Networks
  • How to Train Multilayer Perceptrons Efficiently with Large Data
  • Cluster Analysis of Marketing Data Examining On-Line Shopping
  • Heuristics in Medical Data Mining
  • Understanding Credit Card Users Behaviour
  • Heuristic Knowledge Discovery for Archaeological Data Using Cultural Algorithms and Rough Sets

「Nielsen BookData」 より

詳細情報

ページトップへ