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{ "item_title" : "Swarm Intelligence for Multi-Objective Problems in Data Mining", "item_author" : [" Carlos Coello Coello", "Satchidananda Dehuri", "Susmita Ghosh "], "item_description" : "An Introduction to Swarm Intelligence for Multi-objective Problems.- Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers.- Multiobjective Particle Swarm Optimization in Classification-Rule Learning.- Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers.- Optimizing Decision Trees Using Multi-objective Particle Swarm Optimization.- A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective.- Rigorous Runtime Analysis of Swarm Intelligence Algorithms - An Overview.- Mining Rules: A Parallel Multiobjective Particle Swarm Optimization Approach.- The Basic Principles of Metric Indexing.- Particle Evolutionary Swarm Multi-Objective Optimization for Vehicle Routing Problem with Time Windows.- Combining Correlated Data from Multiple Classifiers.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/64/203/624/3642036244_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Swarm Intelligence for Multi-Objective Problems in Data Mining|Carlos Coello Coello

Swarm Intelligence for Multi-Objective Problems in Data Mining

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Overview

An Introduction to Swarm Intelligence for Multi-objective Problems.- Multi-Criteria Ant Feature Selection Using Fuzzy Classifiers.- Multiobjective Particle Swarm Optimization in Classification-Rule Learning.- Using Multi-Objective Particle Swarm Optimization for Designing Novel Classifiers.- Optimizing Decision Trees Using Multi-objective Particle Swarm Optimization.- A Discrete Particle Swarm for Multi-objective Problems in Polynomial Neural Networks used for Classification: A Data Mining Perspective.- Rigorous Runtime Analysis of Swarm Intelligence Algorithms - An Overview.- Mining Rules: A Parallel Multiobjective Particle Swarm Optimization Approach.- The Basic Principles of Metric Indexing.- Particle Evolutionary Swarm Multi-Objective Optimization for Vehicle Routing Problem with Time Windows.- Combining Correlated Data from Multiple Classifiers.

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Details

  • ISBN-13: 9783642036248
  • ISBN-10: 3642036244
  • Publisher: Springer
  • Publish Date: September 2009
  • Dimensions: 9.21 x 6.14 x 0.69 inches
  • Shipping Weight: 1.33 pounds
  • Page Count: 287

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