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Title: Generalization and decision tree induction efficientclassification in data mining
Page Link: Generalization and decision tree induction efficientclassification in data mining -
Posted By: computer science crazy
Created at: Tuesday 20th of October 2009 06:41:02 PM
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Abstract
Efficiency and scalability are fundamental issues concerning data mining in large databases. Although classification has been studied extensively, few of the known methods take serious consideration of efficient induction in large databases and the analysis of data at multiple abstraction levels. The paper addresses the efficiency and scalability issues by proposing a data classification method which integrates attribute oriented induction, relevance analysis, and the induction of decision trees. Such an integration leads to efficient ....etc

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Title: decision tree for uncertain data java source code download
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Created at: Thursday 18th of October 2012 02:21:28 PM
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Title: future enhancements to decision tree for uncertain data
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Created at: Thursday 22nd of November 2012 01:16:32 PM
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Title: decision tree for uncertain data ppt download
Page Link: decision tree for uncertain data ppt download -
Posted By:
Created at: Saturday 26th of January 2013 03:01:11 PM
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Title: decision tree for uncertain data java source code download
Page Link: decision tree for uncertain data java source code download -
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Created at: Sunday 28th of October 2012 12:50:27 AM
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Title: privacy preserving decision tree learning using unrealized data sets ppt
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Posted By:
Created at: Friday 04th of January 2013 05:21:07 PM
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Title: Privacy Preserving Decision Tree Learning Using Unrealized Data Sets
Page Link: Privacy Preserving Decision Tree Learning Using Unrealized Data Sets -
Posted By: Projects9
Created at: Monday 23rd of January 2012 06:37:28 PM
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Abstract—Privacy preservation is important for machine learning and data mining, but measures designed to protect private information often result in a trade-off: reduced utility of the training samples. This paper introduces a privacy preserving approach that can be applied to decision tree learning, without concomitant loss of accuracy. It describes an approach to the preservation of the privacy of collected data samples in cases where information from the sample database has been partially lost. This approach converts the original sample d ....etc

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Title: thesis documentation for privacy preserving decision tree learning using unrealized data sets
Page Link: thesis documentation for privacy preserving decision tree learning using unrealized data sets -
Posted By:
Created at: Thursday 06th of December 2012 05:24:27 PM
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Title: privacy preserving decision tree learning using unrealized data sets 2012
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Created at: Monday 15th of October 2012 02:00:53 PM
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Title: decision tree for uncertain data documentation uml diagram
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Created at: Tuesday 16th of October 2012 06:39:30 AM
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