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Essay

An Exploration of Understanding Heterogeneity through Data Mining

Essay specific features

 

Issue:

Science

 

Written by:

Robert S

 

Date added:

December 11, 2016

 

Level:

University

 

Grade:

A

 

No of pages / words:

23 / 6339

 

Was viewed:

5952 times

 

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Essay content:

Most descriptions and categorization schemes of heterogeneities were given in languages specific to different research groups. We believe that efforts invested in a thorough research of heterogeneity can ultimately benefit both data integration and data mining communities. In this paper we give a brief survey of various ways to categorize heterogeneity in the literature, and then performed a case study on detecting a specific class of heterogeneity in the setting of Semantic Web ontologies–the one that can be discovered by only data-driven approaches...
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In this paper we give a brief survey of various ways to categorize heterogeneity in the literature, and then performed a case study on detecting a specific class of heterogeneity in the setting of Semantic Web ontologies–the one that can be discovered by only data-driven approaches. Finally we propose an automatic ontology matching system that can detect this heterogeneity by using redescription mining techniques...
displayed 300 characters

General issues of this essay:
Data Mining Data mining in customer acquisition Data mining Data Mining Data Mining Putting Data To Work: Intelligently Using Data Mining, Data Warehousing And Databases. An Exploration of Understanding Heterogeneity through Data Mining Multiple Response Data Accuracy of Data, Data Ouytput DATA MINING IN HOMELAND SECURITY Data Mining In A Nut Shell Data Mining and Warehousing Data Mining Digital Data Establishing a center of excellence for data mining
 

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