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An Efficient Algorithm for Mining Interactive Communication Sequence Patterns  

Haam, Deok-Min (KAIST 전산학과)
Song, Ji-Hwan (KAIST 전산학과)
Kim, Myoung-Ho (KAIST 전산학과)
Publication Information
Journal of KIISE:Databases / v.36, no.3, 2009 , pp. 169-179 More about this Journal
Abstract
Communication log data consist of communication events such as sending and receiving e-mail or instance message and visiting web sites, etc. Many countries including USA and EU enforce the retention of these data on the communication service providers for the purpose of investigating or detecting criminals through the Internet. Because size of the retained data is very large, the efficient method for extracting valuable information from the data is needed for Law Enforcement Authorities to use the retained data. This paper defines the Interactive Communication Sequence Patterns(ICSPs) that is the important information when each communication event in communication log data consists of sender, receiver, and timestamp of this event. We also define a Mining(FDICSP) problem to discover such patterns and propose a method called Fast Discovering Interactive Communication Sequence Pattern(FDICSP) to solve this problem. FDICSP focuses on the characteristics of ICS to reduce the search space when it finds longer sequences by using shorter sequences. Thus, FDICSP can find Interactive Communication Sequence Patterns efficiently.
Keywords
Data mining; Sequential pattern mining; Interactive communication Sequence; telecommunications data retention;
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