Text Mining using PrefixSpan constrained by Item Interval and Item Attribute

Issei Sato; Yu Hirate; Hayato Yamana

doi:10.1109/ICDEW.2006.142

Text Mining using PrefixSpan constrained by Item Interval and Item Attribute

Issei Sato, Yu Hirate, Hayato Yamana

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Applying conventional sequential pattern mining methods to text data extracts many uninteresting patterns, which increases the time to interpret the extracted patterns. To solve this problem, we propose a new sequential pattern mining algorithm by adopting the following two constraints. One is to select sequences with regard to item intervals-The number of items between any two adjacent items in a sequence-And the other is to select sequences with regard to item attributes. Using Amazon customer reviews in the book category, we have confirmed that our method is able to extract patterns faster than the conventional method, and is better able to exclude uninteresting patterns while retaining the patterns of interest.

Original language	English
Title of host publication	ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops
Editors	Roger S. Barga, Xiaofang Zhou
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	35-38
Number of pages	4
ISBN (Electronic)	0769525717, 9780769525716
DOIs	https://doi.org/10.1109/ICDEW.2006.142
Publication status	Published - 2006
Externally published	Yes
Event	22nd International Conference on Data Engineering Workshops, ICDEW 2006 - Atlanta, United States Duration: 2006 Apr 3 → 2006 Apr 7

Publication series

Name	ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops

Other

Other	22nd International Conference on Data Engineering Workshops, ICDEW 2006
Country/Territory	United States
City	Atlanta
Period	06/4/3 → 06/4/7

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications
Information Systems and Management

Access to Document

10.1109/ICDEW.2006.142

Cite this

Sato, I., Hirate, Y., & Yamana, H. (2006). Text Mining using PrefixSpan constrained by Item Interval and Item Attribute. In R. S. Barga, & X. Zhou (Eds.), ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops (pp. 35-38). Article 1623913 (ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDEW.2006.142

Text Mining using PrefixSpan constrained by Item Interval and Item Attribute. / Sato, Issei; Hirate, Yu; Yamana, Hayato.
ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops. ed. / Roger S. Barga; Xiaofang Zhou. Institute of Electrical and Electronics Engineers Inc., 2006. p. 35-38 1623913 (ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sato, I, Hirate, Y & Yamana, H 2006, Text Mining using PrefixSpan constrained by Item Interval and Item Attribute. in RS Barga & X Zhou (eds), ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops., 1623913, ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops, Institute of Electrical and Electronics Engineers Inc., pp. 35-38, 22nd International Conference on Data Engineering Workshops, ICDEW 2006, Atlanta, United States, 06/4/3. https://doi.org/10.1109/ICDEW.2006.142

Sato I, Hirate Y, Yamana H. Text Mining using PrefixSpan constrained by Item Interval and Item Attribute. In Barga RS, Zhou X, editors, ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops. Institute of Electrical and Electronics Engineers Inc. 2006. p. 35-38. 1623913. (ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops). doi: 10.1109/ICDEW.2006.142

Sato, Issei ; Hirate, Yu ; Yamana, Hayato. / Text Mining using PrefixSpan constrained by Item Interval and Item Attribute. ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops. editor / Roger S. Barga ; Xiaofang Zhou. Institute of Electrical and Electronics Engineers Inc., 2006. pp. 35-38 (ICDEW 2006 - Proceedings of the 22nd International Conference on Data Engineering Workshops).

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abstract = "Applying conventional sequential pattern mining methods to text data extracts many uninteresting patterns, which increases the time to interpret the extracted patterns. To solve this problem, we propose a new sequential pattern mining algorithm by adopting the following two constraints. One is to select sequences with regard to item intervals-The number of items between any two adjacent items in a sequence-And the other is to select sequences with regard to item attributes. Using Amazon customer reviews in the book category, we have confirmed that our method is able to extract patterns faster than the conventional method, and is better able to exclude uninteresting patterns while retaining the patterns of interest.",

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Text Mining using PrefixSpan constrained by Item Interval and Item Attribute

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