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Decision Trees
This paper addresses the problem of decision tree construction in mining streaming data and introduces two new techniques that improve the efficiency of Domingos and Hulten algorithm.
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An alternative to ID3 method of building decision trees that uses a genetic algorithm.
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Using Genetic Algorithms to Build Decision Trees
Our motivation for this project was to explore a different method of building decision trees superior to the ID3 algorithm. ID3 has three major
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ODBCMine generates decision trees from ODBC databases using the C4.5 data-mining algorithm.
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ODBCMine generates decision trees from ODBC databases using the C4.5 data-mining algorithm
Decision Tree Analysis Using ODBCMine ODBCMine is a data-mining tool that generates decision trees. It analyzes the data in ODBC data sources using the C4.5 algorithm, and creates graphical decision
Decision Tree Analysis Using ODBCMine ODBCMine is a data-mining tool that generates decision trees. It analyzes the data in ODBC data sources using the C4.5 algorithm, and creates graphical decision
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splitting as used in decision tree segmentation.
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We are often asked why we favour the "bottom up" hierarchical clustering approach to
"top down" splitting as used in decision tree segmentation. We therefore offer this shortened
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Visitor Ratings Google PR 15. IBM Systems Journal: A decision-tree-based symbolic rule induction system for text categorization
Full text of the article, 'A decision-tree-based symbolic rule induction system for text categorization' from IBM Systems Journal, a publication in the field of Computers and Technology, is provided free of charge by LookSmart's FindArticles service.
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Contains articles from the back issues of over 900 magazines, journals, trade publications and newspapers. Search our online article archive or browse by category list or publication name
This requested article does not exist. The article you requested could not be loaded. Either the content has been removed or the request is invalid. This error occurred at: 2009-07-05 06:07:42 If
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Decision tree analysis software.
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Streamline your decision making process using TreeAge Pro for; Decision Analysis, Cost Effectiveness, Decision Trees, Markov Models, Influence Diagrams, Monte Carlo Simulation and Discrete Event Simulation.
is a transformational tool, changing the way governments, industries and healthcare institutions see today and optimize tomorrow . With TreeAge Pro decision analysis software you can: as decision
is a transformational tool, changing the way governments, industries and healthcare institutions see today and optimize tomorrow . With TreeAge Pro decision analysis software you can: as decision
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Software for management decision analysis.
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Vanguard's forecasting software is used by thousands of companies for Web-based collaborative modeling, and strategic decision-making. Free download available.
Since 1995, Vanguard has helped thousands of companies in over 60 countries make better decisions by applying science to the planning process. Our methods go beyond data analysis to include tools
Since 1995, Vanguard has helped thousands of companies in over 60 countries make better decisions by applying science to the planning process. Our methods go beyond data analysis to include tools
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Lecture about decision trees by Amos Storkey.
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Tutorial Slides by Andrew Moore. A self-contained introduction to the flavor and terminology of data mining.
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The Decision Tree is one of the most popular classification algorithms
in current use in Data Mining and Machine Learning. This tutorial can
be used as a self-contained introduction to the flavor
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