Improving induction decision trees with parallel genetic programming

No abstract is available for this paper.

• Publication year

  2002

• Venue

  Proceedings 10th Euromicro Workshop on Parallel, Distributed and Network-based Processing

• Publication date

  2002-01-09

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/EMPDP.2002.994264
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Induction of decision trees

  2004cited by this paper
• Evolution of Decision Trees

  2001cited by this paper
• CAGE: A Tool for Parallel Genetic Programming Applications

  2001cited by this paper
• Diffusion (cellular) models

  2000cited by this paper
• A parallel genetic algorithm for rule discovery in large databases

  1999cited by this paper
• A Cellular Genetic Programming Approach to Classification

  1999cited by this paper
• Interestingness-Based Interval Merger for Numeric Association Rules

  1998cited by this paper
• A Genetic Programming Framework for Two Data Mining Tasks: Classification and Generalized Rule Induction

  1997cited by this paper
• Inductive Genetic Programming with Decision Trees

  1997cited by this paper
• Handbook of evolutionary computation

  1997cited by this paper
• From Data Mining to Knowledge Discovery: An Overview

  1996cited by this paper
• C4.5: Programs for Machine Learning (書評)

  1995cited by this paper
• Genetic Programming for Feature Discovery and Image Discrimination

  1993cited by this paper
• An Information Theoretic Approach to Rule Induction from Databases

  1992influential reference
• Genetic Programming: On the Programming of Computers by Means of Natural Selection

  1992cited by this paper
• C4.5: Programs for Machine Learning

  1992influential reference
• Cellular automata machines - a new environment for modeling

  1987cited by this paper

• SortingHat: Efficient Private Decision Tree Evaluation via Homomorphic Encryption and Transciphering

  2022cites this paper
• A p2p environment to validate ensemble-based approaches in the cybersecurity domain

  2020cites this paper
• Using genetic programming for combining an ensemble of local and global outlier algorithms to detect new attacks

  2019cites this paper
• Decision Trees in Data Mining

  2019cites this paper
• A Peer-to-Peer Architecture for Detecting Attacks from Network Traffic and Log Data

  2017cites this paper
• Learning ensemble of decision trees through multifactorial genetic programming

  2016cites this paper
• Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation

  2014cites this paper
• On the automatic design of decision-tree induction algorithms

  2013cites this paper
• An Indexed Bibliography of Genetic Algorithms in Economics

  2012influential citation
• An Indexed Bibliography of Distributed Genetic Algorithms

  2012influential citation
• An Indexed Bibliography of Genetic Programming

  2012cites this paper
• A Survey of Evolutionary Algorithms for Decision-Tree Induction

  2012influential citation
• Maximum Margin Decision Surfaces for Increased Generalisation in Evolutionary Decision Tree Learning

  2011cites this paper
• An Optimal Constrained Pruning Strategy for Decision Trees

  2009cites this paper
• Research on a Scalable Parallel Data Mining Algorithm

  2009cites this paper
• Parallel Research of Sequential Pattern Data Mining Algorithm

  2008cites this paper
• A multi-objective genetic programming approach to developing Pareto optimal decision trees

  2007cites this paper
• Utilising Restricted For-Loops in Genetic Programming

  2007cites this paper