| Summary: | 碩士 === 國立中正大學 === 資訊管理所暨醫療資訊管理所 === 98 === Mining sequential patterns is an important issue in data mining and has many
applications. An extended work of sequential pattern mining, called hierarchical
time-interval sequential pattern mining, is proposed to retrieve time-interval
information between successive items. However, previous work only considers
single-level time-interval in pattern extraction, which means sequential patterns with
cross-level time-intervals are completely ignored. Therefore, this study first defines
hierarchical time-interval sequential patterns and then presents a novel algorithm,
named HTI-PrefixSpan, for discovering the complete set of hierarchical time-interval
sequential patterns. Experimental results show that the proposed algorithm is not only
effective on the test dataset but also could discover patterns with cross level
time-interval.
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