Issues and Techniques of Spatio -Temporal Rule Mining for Location Based Services

1
Mr. M.Jayakameswaraiah
Mr. M.Jayakameswaraiah
2
Dr. S.Ramakrishna
Dr. S.Ramakrishna
1 SRI VENKATESWARA UNIVERSITY

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GJCST Volume 13 Issue C7

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The Convergence of location-aware devices, wireless communication, such as the increasing accuracy of GPS technology and geographic information system functionalities enables the deployment of new services such as location-based services (LBS). Achieve high quality or such services, spatio-temporal data mining techniques are needed. Our work concentrates on the development of data mining techniques for knowledge discovery and delivery in LBS. First, a number of real world spatio-temporal data sets are described, leading to a taxonomy of spatio-temporal data. Second, the paper describes a general methodology that transforms the spatio-temporal rule mining task to the traditional market basket analysis task and applies it to the described data sets, enabling traditional association rule mining methods to discover spatio-temporal rules for LBS. Finally, unique issues in spatio-temporal rule mining are identified and discussed.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

Mr. M.Jayakameswaraiah. 2013. \u201cIssues and Techniques of Spatio -Temporal Rule Mining for Location Based Services\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 13 (GJCST Volume 13 Issue C7): .

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GJCST Volume 13 Issue C7
Pg. 25- 33
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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v1.2

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July 2, 2013

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English

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The Convergence of location-aware devices, wireless communication, such as the increasing accuracy of GPS technology and geographic information system functionalities enables the deployment of new services such as location-based services (LBS). Achieve high quality or such services, spatio-temporal data mining techniques are needed. Our work concentrates on the development of data mining techniques for knowledge discovery and delivery in LBS. First, a number of real world spatio-temporal data sets are described, leading to a taxonomy of spatio-temporal data. Second, the paper describes a general methodology that transforms the spatio-temporal rule mining task to the traditional market basket analysis task and applies it to the described data sets, enabling traditional association rule mining methods to discover spatio-temporal rules for LBS. Finally, unique issues in spatio-temporal rule mining are identified and discussed.

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Issues and Techniques of Spatio -Temporal Rule Mining for Location Based Services

Mr. M.Jayakameswaraiah
Mr. M.Jayakameswaraiah SRI VENKATESWARA UNIVERSITY
Dr. S.Ramakrishna
Dr. S.Ramakrishna

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