Growing Simpler Decision Trees to Facilitate Knowledge Discovery

Keywords

Decision tree, Computer science, Set (abstract data type), Machine learning, Artificial intelligence

References

• Automating the hunt for volcanoes on VenusBurl, Fayyad, Perona — 1994
• C4.5: Programs for Machine LearningJ. R. Quinlan — 1992
• Rapid Quality Estimation of Neural Network Input RepresentationsKevin J. Cherkauer, Jude Shavlik — 1995
• Genetic Algorithms in Search Optimization and Machine LearningD. Goldberg — 1988
• Prototype and Feature Selection by Sampling and Random Mutation Hill Climbing AlgorithmsD. B. Skalak — 1994
• Irrelevant Features and the Subset Selection ProblemG. John, Ron Kohavi, Karl Pfleger — 1994

Cited by

• Impact of learning set quality and size on decision tree performancesMarc Sebban, Richard Nock, Jean-Hugues Chauchat — 2000
• Advances in Predictive Model Generation for Data MiningS. J. Hong, Sholom M. Weiss — 1999
• Data mining using fuzzy theory for customer relationship managementKok Wai Wong — 2001
• Book Review: Computational Methods of Feature SelectionHuan Liu, Hiroshi Motoda — 2007
• Making lexical sense of Japanese-English machine translation : A disambiguation extravaganzaTimothy Baldwin — 2001
• ON THE SELECTION OF CLASSIFIER-SPECIFIC FEATURE SELECTION ALGORITHMSSotiris Kotsiantis, Panagiotis Pintelas — 2004
• Genetic Algorithms for Selection and Partitioning of Attributes in Large-Scale Data Mining ProblemsWilliam H. Hsu, Michael Welge, Jie Wu — 1999
• Métaheuristiques pour l'extraction de connaissances: Application à la génomiqueLaëtitia Jourdan — 2003
• Combining Feature and Prototype Pruning by Uncertainty MinimizationMarc Sebban, Richard Nock — 2013
• Correlation-based Feature Selection for Machine LearningMark Hall — 2003
• Data Mining: A Heuristic ApproachHussein A. Abbass, Ruhul Sarker, Charles Newton — 2002
• High-Performance Commercial Data Mining: A Multistrategy Machine Learning ApplicationWilliam H. Hsu, Michael Welge, Tom Redman — 2002
• Soft Computing for Knowledge Discovery and Data MiningOded Maimon — 2007
• A Review of evolutionary Algorithms for Data MiningAlex A. Freitas — 2008
• A survey of genetic feature selection in mining issuesMarı́a J. Martı́n-Bautista, M.A. Vila — 1999
• Feature Selection for EnsemblesDavid W. Opitz — 1999
• Comparing Simplification Procedures for Decision Trees on an Economics ClassificationDavid W. Aba, Leonard A. Breslow — 1998
• A Permutation Genetic Algorithm For Variable Ordering In Learning Bayesian Networks From DataWilliam H. Hsu, Haipeng Guo, Benjamin Perry — 2002
• Mathematical programming approaches to machine learning and data miningPaul Stephen Bradley, O. L. Mangasarian — 1998
• Prototype Selection for Composite Nearest Neighbor ClassifiersDavid B. Skalak — 1995

Related papers

• C4.5: Programs for Machine LearningJ. R. Quinlan — 1992
• Induction of Decision TreesJ. R. Quinlan — 1986
• Wrappers for Feature Subset SelectionRon Kohavi, George H. John — 1997
• Learning with Many Irrelevant FeaturesHussein Almuallim, Thomas G. Dietterich — 1991
• A Probabilistic Approach to Feature Selection - A Filter SolutionHuan Liu, Rudy Setiono — 1996
• Toward Optimal Feature SelectionDaphne Koller, Mehran Sahami — 1996
• Genetic algorithms as a tool for restructuring feature space representationsH. Vafaie, K. De Jong — 1995