Collaborative Concealment of Spatio-Temporal Mobile Sequential Patterns

S. Sri Ramya; P. Subba Rao

Collaborative Concealment of Spatio-Temporal Mobile Sequential Patterns

S. Sri Ramya * §

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P. Subba Rao

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§ Aditya Engineering College

Collaborative Concealment of Spatio-Temporal Mobile Sequential Patterns

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Abstract

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.

References

7 Cites in Article

Reference Format

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Iiias Tsoukatos,Dimitrios Gunopulos (2001). Efficient Mining of Spatiotemporal Patterns.
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Ching-Huang Yun,Ming-Syan Chen (2007). Mining Mobile Sequential Patterns in a Mobile Commerce Environment.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

S. Sri Ramya, P. Subba Rao. 2012. "Collaborative Concealment of Spatio-Temporal Mobile Sequential Patterns". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 12 (GJCST Volume 12 Issue E12).

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GJCST Volume 12 Issue E12

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-E Classification D.2.11

Submission ReceivedDecember 8, 2011
Peer Review Double Blind
Handling Editor
Accepted January 5, 2012
Published January 15, 2012

Version of record

v1.2

Issue date

July 31, 2012

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: S. Sri Ramya, P. Subba Rao (PhD/Dr. count: 0)

View Count (all-time): 338

Total Views (Real + Logic): 3937

Total Downloads (simulated): 275

Publish Date: 2012 01, Sun

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Total Views: 3.9K

Total Downloads: 275

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