Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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Recent advances in communication and information technology, such as the increasing accuracy of GPS technology and the portability of wireless communication devices coat the way for Location Based Services (LBS). Based on the data collected from the location aware mobile devices data mining techniques are used to meet the quality requirements of expected services. The efficient management of moving object databases has gained much interest in recent years due to the development of mobile communication and positioning technologies. A typical way of representing moving objects is to use the trajectories. Much work has focused on the topics of indexing, query processing and data mining of moving object trajectories, but little attention has been paid to the preservation of privacy in this setting. The major contribution of this paper is to provide privacy to the users of Location Based Services along with capturing interesting user’s behavior pattern by broaden the ideas presented in the datamining-literature.
S. Sri Ramya. 2012. \u201cCollaborative Concealment of Spatio-Temporal Mobile Sequential Patterns\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 12 (GJCST Volume 12 Issue E12): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Neural Networks and Rules-based Systems used to Find Rational and
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Recent advances in communication and information technology, such as the increasing accuracy of GPS technology and the portability of wireless communication devices coat the way for Location Based Services (LBS). Based on the data collected from the location aware mobile devices data mining techniques are used to meet the quality requirements of expected services. The efficient management of moving object databases has gained much interest in recent years due to the development of mobile communication and positioning technologies. A typical way of representing moving objects is to use the trajectories. Much work has focused on the topics of indexing, query processing and data mining of moving object trajectories, but little attention has been paid to the preservation of privacy in this setting. The major contribution of this paper is to provide privacy to the users of Location Based Services along with capturing interesting user’s behavior pattern by broaden the ideas presented in the datamining-literature.
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