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标题：Compression Techniques by Using Mining Spatio-Temporal Regions
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作者：Ch.Trinath ; Dr.G.Rama Krishna
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2013
卷号：4
期号：4-5
出版社：Seventh Sense Research Group
摘要：Technology is rapidly making its way into the end user market, not only through the already omnipresent cell phone but soon also through small, onboard position strategy in many means of carry and in types of moveable paraphernalia. It is thus to be expected that all these devices will start to generate an unparalleled data stream of timestamped position. closer or soon after, such huge volumes of data will lead to storage, communication, working out, and display challenges. The need for compression techniques. Earlier some work has been done in data compression for GIS and mainly in line generalization area considering three dimensionals data. However, timestamped positions data do not form a line, as they are traditionally traced points. On the other hand, researches with in compression for time series data mainly deal with one dimensional time series and are good for short time series and in absence of noise. This paper addresses the an approach for mining spatiotemporal pattern from trajectory data and describes different techniques to compress short as well as lengthy stream of timestamped positions data.
关键词：Compression Techniques by Using Mining Spatio-Temporal Regions