WRSP-Miner Algorithm for Mining Weighted Sequential Patterns from Spatio-temporal Databases

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 379)

Abstract

Not allowing priorities in the mining process does not support user-directed or focus-driven mining. The work proposed in this paper provides support to include user prioritizations in the form of weights into the mining process. An algorithm WRSP-Miner is proposed for the purpose of mining Weighted Regional Sequential Patterns (WRSPs) from spatio-temporal event databases. WRSP-Miner uses two interestingness measures sequence weight and significance index for efficient mining of WRSPs. Experimentation has been performed on synthetic datasets and results proved that the proposed WRSP-Miner algorithm has achieved the purpose of its design.

Keywords

Data mining Spatiotemporal database Event Sequential pattern Weighted patterns 

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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Department of CSES. V. University College of Engineering, S. V. UniversityTirupatiIndia

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