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Title: GRID SERVICE DISCOVERY WITH ROUGH SETS-- KNOWLEDGE AND DATA ENGINEERING
Page Link: GRID SERVICE DISCOVERY WITH ROUGH SETS-- KNOWLEDGE AND DATA ENGINEERING -
Posted By: donygeorge1987
Created at: Thursday 17th of August 2017 05:54:58 AM
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GRID SERVICE DISCOVERY WITH ROUGH SETS-- KNOWLEDGE AND DATA ENGINEERING

Abstract: A rough set is a formal approximation of a crisp set (conventional set) in terms of a pair of sets which give the lower and the upper approximation of the original set. The lower and upper approximation sets themselves are crisp sets in the standard version of rough set theory, but in other variations, the approximating sets may be fuzzy sets as well. The computational grid is rapidly evolving into a service-oriented computing infrastructure that facilitates r ....etc

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Title: horizontal aggregations in sql to prepare data sets for data mining analysis ppt
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Title: ppt for horizontal aggregation in sql to prepare data sets for data mining analysis
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Posted By: nishawilson
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Title: matlab codes for data mining rough set free download
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Abstract

Large amounts of data about the patients with their medical conditions are presented in the Medical databases. Analyzing all these databases is one of the difficult tasks in the medical environment. In order to warehouse all these databases and to analyze the patient s condition, we need an efficient data mining technique. In this paper, an efficient data mining technique for warehousing clinical databases using Rough Set Theory (RST) and Fuzzy Logic is proposed. Our proposed meth ....etc

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Title: privacy preserving decision tree learning using unrealized data sets 2012
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Created at: Thursday 05th of October 2017 04:39:39 AM
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Title: GRID SERVICE DISCOVERY WITH ROUGH SETS
Page Link: GRID SERVICE DISCOVERY WITH ROUGH SETS -
Posted By: mohanasundaram
Created at: Thursday 05th of October 2017 03:48:28 AM
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Grid Service Discovery with Rough Sets

Maozhen Li, Member, IEE, Bin Yu, Omer Rana, and Zidong Wang, Senior Member, IEE


Abstract\

The computational grid is rapidly evolving into a service-oriented computing infrastructure that facilitates resource sharing
and large-scale problem solving over the Internet. Service discovery becomes an issue of vital importance in utilizing grid facilities. This
paper presents ROSSE, a Rough sets-based search engine for grid service discovery. Building on th ....etc

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Title: privacy preserving decision tree learning using unrealized data sets ppt
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Posted By: OJO FELICIA
Created at: Thursday 17th of August 2017 08:23:30 AM
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Title: A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Page Link: A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets -
Posted By: panks
Created at: Friday 06th of October 2017 03:06:02 PM
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A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets-IEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 4,-java

Abstract
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Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns identifies significant event-type sequences. Such spatio-temporal sequential patterns are crucial to the investigation of spatial and temporal evolutions of phenomena in many application domains. Rec ....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: master
Created at: Thursday 05th of October 2017 04:40:32 AM
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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 da ....etc

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