Wednesday, February 6, 2019

IJSRD - Submit Paper | February 2019 - Vol 6 Issue 12

IJSRD - INTERNATIONAL JOURNAL FOR SCIENTIFIC RESEARCH AND DEVELOPMENT
CALL FOR PAPER | SUBMIT PAPER | VOL. 6 – ISSUE 12 FEB. 2019

INTERNATIONAL ONLINE OPEN-ACCESS PEER REVIEWED JOURNAL
INDIAN LEADING ONLINE JOURNAL FOR ENGINEERING
IF : 4.396 | I.C.VALUE : 66.68

Saturday, January 5, 2019

IJSRD - Submit Paper | January 2019 - Vol 6 Issue 11

IJSRD - INTERNATIONAL JOURNAL FOR SCIENTIFIC RESEARCH AND DEVELOPMENT

CALL FOR PAPER | SUBMIT PAPER | VOL. 6 – ISSUE 11 JAN. 2019

INTERNATIONAL ONLINE OPEN-ACCESS PEER REVIEWED JOURNAL
INDIAN LEADING ONLINE JOURNAL FOR ENGINEERING

IF : 4.396 | I.C.VALUE : 66.68


Friday, December 14, 2018

Tuesday, November 20, 2018

IJSRD | High Speed Clustering Scheme for High Dimensional Data Streams

Research Aera & Helpful Artile for : Computer Science & Information Technology

Author(s): Sudeesh S, M. Suresh

Institute: SELVAM COLLEGE OF TECHNOLOGY

Keywords: Clustering, Data Stream, High Dimensionality

Abstract:
This paper presents a novel high-speed clustering scheme for high dimensional data streams. Data stream clustering has gained importance in different applications, for example, in network monitoring, intrusion detection, and real-time sensing are few of those. High dimensional stream data is inherently more complex when used for clustering because the evolving nature of the stream data and high dimensionality make it non-trivial. In order to tackle this problem, projected subspace within the high dimensions and limited window sized data per unit of time are used for clustering purpose. We propose a High Speed and Dimensions data stream clustering scheme (HSDStream) which employs exponential moving averages to reduce the size of the memory and speed up the processing of projected subspace data stream. The proposed algorithm has been tested against HDD Stream for cluster purity, memory usage, and the cluster sensitivity. Experimental results have been obtained for corrected KDD intrusion detection dataset. These results show that HSDStream outperforms the HDDStream in performance metrics, especially the memory usage and the processing speed.
Paper ID: IJSRDV5I10658

Published in IJSRD Volume : 5, Issue : 1, April 2017

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IJSRD - International Journal for Scientific Research & Development