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Title |
A Novel Framework for Geo-clustering of User Movements based on Trajectory Data |
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Author |
V. Tanuja, P. Govindarajulu |
| Citation |
Vol. 17 No. 3 pp. 212-222 |
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Abstract |
Data mining applications on real time data sources is an evolving area of research .The availability of data gathering techniques in modern era is facilitating novel means to go with extracting knowledge from new data trends. Trajectory data is one of the potential sources to study the style of the data being generated through sensing the events with special and temporal nature. Trajectory data clustering is a major data mining technique to deal with the trajectory data of real-time movements. In this paper a new algorithm is proposed to cluster the trajectory data. The data regarding the sequential locations of user movements is considered for clustering. The trajectory data of taxy/auto riksha movements in the Nellore town of Andhra Pradesh is considered for evaluating the algorithm. The results showed that the proposed algorithm is better than the existing algorithms in the literature in terms of computational effort needed. This novel approach will met with the process of knowing user profile behavior and guide towards profitable Customer Relationship Management (CRM) practices in multifold business situations. |
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Keywords |
Data mining application, Real time data, Trajectory data clustering |
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