Applications of Pattern Discovery Using Sequential Data Mining

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Author(s): Manish Gupta (University of Illinois at Urbana-Champaign, USA)and Jiawei Han (University of Illinois at Urbana-Champaign, USA)
Copyright: 2012
Pages: 23
Source title: Pattern Discovery Using Sequence Data Mining: Applications and Studies
Source Author(s)/Editor(s): Pradeep Kumar (Indian Institute of Management, India), P. Radha Krishna (Infosys Technologies Limited, India)and S. Bapi Raju (University of Hyderabad, India)
DOI: 10.4018/978-1-61350-056-9.ch001

Keywords: Data Mining / Data Mining and Databases / Engineering Science Reference / Library & Information Science

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Abstract

Sequential pattern mining methods have been found to be applicable in a large number of domains. Sequential data is omnipresent. Sequential pattern mining methods have been used to analyze this data and identify patterns. Such patterns have been used to implement efficient systems that can recommend based on previously observed patterns, help in making predictions, improve usability of systems, detect events, and in general help in making strategic product decisions. In this chapter, we discuss the applications of sequential data mining in a variety of domains like healthcare, education, Web usage mining, text mining, bioinformatics, telecommunications, intrusion detection, et cetera. We conclude with a summary of the work.

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