Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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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.
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): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
The methods for personal identification and authentication are no exception.
Total Score: 107
Country: India
Subject: Global Journal of Computer Science and Technology - C: Software & Data Engineering
Authors: Mr. M.Jayakameswaraiah, Dr. S.Ramakrishna (PhD/Dr. count: 1)
View Count (all-time): 220
Total Views (Real + Logic): 9632
Total Downloads (simulated): 2550
Publish Date: 2013 07, Tue
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Neural Networks and Rules-based Systems used to Find Rational and
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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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