On the feasibility of discovering meta-patterns from a data ensemble

Einoshin Suzuki

doi:10.1007/978-3-319-24282-8_22

On the feasibility of discovering meta-patterns from a data ensemble

Einoshin Suzuki

Intelligence Science

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

Abstract

We introduce meta-pattern discovery from a data ensemble, a new paradigm of pattern discovery which goes beyond the KDD process model. A data ensemble, which represents a set of data sets, seems to be more natural as a model of the big data (We focus on the volume and velocity aspects of the big data.). We propose two kinds of meta-patterns, each of which specifies patterns such as clusters for a set of data sets, for an unsupervised setting and a supervised one. Our solutions for these settings were shown to be feasible with one synthetic and two real data ensembles by experiments.

Original language	English
Title of host publication	Discovery Science - 18th International Conference, DS 2015
Editors	Stan Matwin, Nathalie Japkowicz
Publisher	Springer Verlag
Pages	266-274
Number of pages	9
ISBN (Print)	9783319242811
DOIs	https://doi.org/10.1007/978-3-319-24282-8_22
Publication status	Published - 2015
Event	18th International Conference on Discovery Science, DS 2015 - Banff, Canada Duration: Oct 4 2015 → Oct 6 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9356
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	18th International Conference on Discovery Science, DS 2015
Country/Territory	Canada
City	Banff
Period	10/4/15 → 10/6/15

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-24282-8_22

Cite this

Suzuki, E. (2015). On the feasibility of discovering meta-patterns from a data ensemble. In S. Matwin, & N. Japkowicz (Eds.), Discovery Science - 18th International Conference, DS 2015 (pp. 266-274). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9356). Springer Verlag. https://doi.org/10.1007/978-3-319-24282-8_22

On the feasibility of discovering meta-patterns from a data ensemble. / Suzuki, Einoshin.
Discovery Science - 18th International Conference, DS 2015. ed. / Stan Matwin; Nathalie Japkowicz. Springer Verlag, 2015. p. 266-274 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9356).

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

Suzuki, E 2015, On the feasibility of discovering meta-patterns from a data ensemble. in S Matwin & N Japkowicz (eds), Discovery Science - 18th International Conference, DS 2015. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9356, Springer Verlag, pp. 266-274, 18th International Conference on Discovery Science, DS 2015, Banff, Canada, 10/4/15. https://doi.org/10.1007/978-3-319-24282-8_22

Suzuki E. On the feasibility of discovering meta-patterns from a data ensemble. In Matwin S, Japkowicz N, editors, Discovery Science - 18th International Conference, DS 2015. Springer Verlag. 2015. p. 266-274. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-24282-8_22

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On the feasibility of discovering meta-patterns from a data ensemble

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