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Analysis of data clustering support for service

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3 Author(s)
YunWei Zhao ; Sch. of Software, Tsinghua Univ., Beijing, China ; Chi-hung Chi ; Chen Ding

With the current direction of service and cloud, unique characteristics of online software services impose new algorithmic requirements and cause differential applicability/ suitability of different clustering approaches in service analytics. In this paper, we investigate the efficiency and effectiveness of current important data clustering techniques, partitioning and hierarchical, for service analytics. It is our goal that results from this paper will serve as requirement guidelines for developing and deploying future intelligence services.

Published in:

Software Engineering and Service Science (ICSESS), 2011 IEEE 2nd International Conference on

Date of Conference:

15-17 July 2011