Prof. Ing. Tomáš Hruška, CSc.

ŠEBEK Michal, HLOSTA Martin, ZENDULKA Jaroslav and HRUŠKA Tomáš. MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns. In: 9th International Conference, ADMA 2013. Hangzhou: Springer Verlag, 2013, pp. 157-168. ISBN 978-3-642-53913-8. Available from:
Publication language:english
Original title:MLSP: Mining Hierarchically-Closed Multi-Level Sequential Patterns
Title (cs):MLSP: Dolování hierarchicky uzavřených víceúrovňových sekvenčních vzorů
Proceedings:9th International Conference, ADMA 2013
Conference:9th International Conference on Advanced Data Mining and Applications
Series:Lecture Notes in Computer Science
Place:Hangzhou, CN
Publisher:Springer Verlag
closed sequential pattern mining,taxonomy,generalization,GSP,MLSP
The problem of mining sequential patterns has been widely studied and many efficient algorithms used to solve this problem have been published. In some cases, there can be implicitly or explicitely defined taxonomies (hierarchies) over input items (e.g. product categories in a e-shop or sub-domains in the DNS system). However, how to deal with taxonomies in sequential pattern mining is marginally discussed. In this paper, we formulate the problem of mining hierarchically-closed multi-level sequential patterns and demonstrate its usefulness. The MLSP algorithm based on the on-demand generalization that outperforms other similar algorithms for mining multi-level sequential patterns is presented here.
   author = {Michal {\v{S}}ebek and Martin Hlosta and Jaroslav
	Zendulka and Tom{\'{a}}{\v{s}} Hru{\v{s}}ka},
   title = {MLSP: Mining Hierarchically-Closed Multi-Level
	Sequential Patterns},
   pages = {157--168},
   booktitle = {9th International Conference, ADMA 2013},
   series = {Lecture Notes in Computer Science},
   year = 2013,
   location = {Hangzhou, CN},
   publisher = {Springer Verlag},
   ISBN = {978-3-642-53913-8},
   doi = {10.1007/978-3-642-53914-5_14},
   language = {english},
   url = {}

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