International Journal of Scientific and Research Publications

IJSRP, Volume 3, Issue 4, April 2013 Edition [ISSN 2250-3153]

A Comprehensive Survey on Semantics for Data Compression
      M.V.Gaikwad, Prof. N.J.Janwe
Abstract: Natural phenomena show that many creatures form large social groups and move in regular patterns. To reduce the data an efficient distributed mining algorithms are used to jointly identify a group of moving objects and discover their movement patterns in wireless sensor networks. In object tracking applications, many natural phenomena show that objects often exhibit some degree of regularity in their movements. To reduce the data volume, various algorithms have been proposed for data compression and data aggregation. In this paper we have surveyed various research papers of movement pattern mining, clustering, and data compression techniques.

Reference this Research Paper (copy & paste below code):

M.V.Gaikwad, Prof. N.J.Janwe (2018); A Comprehensive Survey on Semantics for Data Compression; Int J Sci Res Publ 3(4) (ISSN: 2250-3153).
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