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Title: decision tree for uncertain data project using algorithm ppt
Page Link: decision tree for uncertain data project using algorithm ppt -
Posted By:
Created at: Sunday 14th of July 2013 04:19:35 PM
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Title: privacy preserving decision tree learning using unrealized data sets 2012
Page Link: privacy preserving decision tree learning using unrealized data sets 2012 -
Posted By:
Created at: Monday 15th of October 2012 02:00:53 PM
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Title: A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics
Page Link: A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics -
Posted By: savitalonare
Created at: Tuesday 03rd of January 2012 02:14:02 PM
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Hello all... Happy new year. I am ME student, and want to work on A Privacy-Preserving Remote Data Integrity Checking Protocol with Data Dynamics and Public Verifiability . I want to know about the feasibility of this project. How to work on it. Is there any need to set up a private cloud for this project? ....etc
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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 documentation uml diagram
Page Link: decision tree for uncertain data documentation uml diagram -
Posted By:
Created at: Tuesday 16th of October 2012 06:39:30 AM
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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 -
Posted By:
Created at: Thursday 18th of October 2012 02:21:28 PM
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Title: Privacy preserving decision tree for uncertain data in dotnet
Page Link: Privacy preserving decision tree for uncertain data in dotnet -
Posted By:
Created at: Sunday 30th of June 2013 05:02:41 PM
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I need some project details for the topicPrivacy preserving decision tree for uncertain data in dotnet pls assist me ....etc
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Title: privacy preserving decision tree learning using unrealized data sets ppt
Page Link: privacy preserving decision tree learning using unrealized data sets ppt -
Posted By:
Created at: Friday 04th of January 2013 05:21:07 PM
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Hi,
I need the PPT for Privacy preserving decision tree learning using unrealized dataset
PPT Requirement:
Abstract, Domain ,Existing system, Demerits, proposed system, merits, conclusion, Hardware and software requirements,system design.
Thank you, ....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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i need documentation for documentation for privacy preserving decision tree learning using unrealized data sets
i need documentation for documentation for privacy preserving decision tree learning using unrealized data sets ....etc
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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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