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Mining Time-Gap Sequential Patterns
2012Mining sequential patterns is to discover sequential purchasing behaviors for most of the customers from a large amount of customer transactions. An example of such a pattern is that most of the customers purchased item B after purchasing item A, and then they purchased item C after using item B.
Show-Jane Yen, Yue-Shi Lee
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A New Algorithm for Mining Sequential Patterns
2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008AprioriAll and AprioriSome are very famous algorithms for mining sequential patterns, which are used to find motifs on a fixed min-support number. In this paper, we contribute a new algorithm that can find all motifs on any min-support numbers.
Zhuo Zhang 0011 +3 more
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Closed Multidimensional Sequential Pattern Mining
Third International Conference on Information Technology: New Generations (ITNG'06), 2006We propose a new method, called closed multidimensional sequential pattern mining, for mining multidimensional sequential patterns. The new method is an integration of closed sequential pattern mining and closed itemset pattern mining. Based on this method, we show that (1) the number of complete closed multidimensional sequential patterns is not ...
Panida Songram +2 more
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Mining Context Based Sequential Patterns
2005Sequential pattern mining is an important task for Web usage mining. In this paper we generalize it to the problem of mining context based patterns, where context attributes may be introduced both for describing the complete sequence (e.g. characterizing user profiles) and for each element inside this sequence (describing circumstances for succeeding ...
Jerzy Stefanowski +1 more
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Keyphrase Extraction with Sequential Pattern Mining
Proceedings of the AAAI Conference on Artificial Intelligence, 2017Existing studies show that extracting a complete keyphrase candidate set is the first and crucial step to extract high quality keyphrases from documents. Based on a common sense that words do not repeatedly appear in an effective keyphrase, we propose a novel algorithm named KCSP for document-specific keyphrase candidate search using ...
Qingren Wang +2 more
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Mining Sequential Patterns in Data Stream
2009We present a new algorithm of mining sequential patterns in data stream. In recent years data stream emerges as a new data type in many applications. When processing data stream, the memory is fixed, new stream elements flow continuously. The stream data can not be paused or completely stored.
Qinhua Huang, Weimin Ouyang
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Efficient Weighted Sequential Pattern Mining
Expert Systems with Applications, 2023Shaotao Chen +2 more
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Mining interval sequential patterns
International Journal of Intelligent Systems, 2005Ding-An Chiang +3 more
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Sequential Pattern Mining with Time Intervals
2006Sequential pattern mining can be used to extract frequent sequences maintaining their transaction order. As conventional sequential pattern mining methods do not consider transaction occurrence time intervals, it is impossible to predict the time intervals of any two transactions extracted as frequent sequences. Thus, from extracted sequential patterns,
Yu Hirate, Hayato Yamana
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Mining Contrast Sequential Patterns with ASP
2023Francesca Alessandra Lisi +1 more
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