Research Article
Alternate Data Clustering for Fast Pattern Matching in Stream Time Series Data
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@INPROCEEDINGS{10.1007/978-3-642-35615-5_22, author={Vishwanath R.H. and Thanagamani M. and Venugopal K.R. and Iyengar S.S. and L. Patnaik}, title={Alternate Data Clustering for Fast Pattern Matching in Stream Time Series Data}, proceedings={Third International conference on advances in communication, network and computing}, proceedings_a={CNC}, year={2012}, month={12}, keywords={Stream time series Alternate data clustering Fast pattern match Cluster mean}, doi={10.1007/978-3-642-35615-5_22} }- Vishwanath R.H.
Thanagamani M.
Venugopal K.R.
Iyengar S.S.
L. Patnaik
Year: 2012
Alternate Data Clustering for Fast Pattern Matching in Stream Time Series Data
CNC
Springer
DOI: 10.1007/978-3-642-35615-5_22
Abstract
Stream time series retrieval has been a major area of study due to its vast application in various fields like weather forecasting, multimedia data retrieval and huge data analysis. Presently, there is a demand for stream data processing, high speed searching and quick response. In this paper, we use a alternate data cluster or segment mean method for stream time series data, where the data is pruned with a computational cost of O(log ). This approach can be used for both static and dynamic stream data processing. The results obtained are the better than the existing algorithms.
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