A Location Prediction Approach Of Moving Objects

Authors

  • A. Petrashenko Національний технічний університет України «КПІ ім. І.Сікорського»
  • М. Zamiatin Національний технічний університет України «КПІ ім. І.Сікорського»
  • A. Pazii Національний технічний університет України «КПІ ім. І.Сікорського»

DOI:

https://doi.org/10.18372/2073-4751.1.12796

Keywords:

Moving Object, Data Model, Spatio-Temporal Analysis, Apriori algorithm

Abstract

Growing popularity of location based services is leading to an increasing volume of mobility data. Inthis paper we introduce a data mining approach to the problem of predicting the next location of amoving object with a certain level of accuracy. We use apriori algorithm to build a probabilisticmodel of future object location. The experiments have demonstrated that our technique givesreasonably accurate prediction

Author Biographies

A. Petrashenko, Національний технічний університет України «КПІ ім. І.Сікорського»

Ph.D.

М. Zamiatin, Національний технічний університет України «КПІ ім. І.Сікорського»

Ph.D

References

P.-R. Lei, T.-J. Shen, W.-C. Peng, and I.-J. Su, "Exploring spatial-temporal trajectory model for location prediction," in 12th IEEE International Conference on Mobile Data Management, MDM 2011, Luleå, Sweden, June 6-9, 2011, Volume 1, 2011, pp. 58-67.

Mikołaj Morzy, Mining Frequent Trajectories of Moving Objects for Location Prediction, Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition, July 18-20, 2007, Leipzig, Germany

Monreale, A., Pinelli, F., Trasarti, R., Giannotti, F.: WhereNext: a location predictor on trajectory pattern mining. In: Proceedings of SIGKDD 2009, pp. 637–646. ACM, New York (2009)

H. Jeung, Q. Liu, H. T. Shen, and X. Zhou, “A Hybrid Prediction Model for Moving Objects,” in Proc. of ICDE, 2008, pp. 70–79.

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Published

2017-05-05

How to Cite

Petrashenko, A., Zamiatin М., & Pazii, A. (2017). A Location Prediction Approach Of Moving Objects. Problems of Informatization and Management, 1(57-58), 72–78. https://doi.org/10.18372/2073-4751.1.12796

Issue

Vol. 1 No. 57-58 (2017)

Section

Статті

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