Covering approach to action rule learning

Paweł Matyszok; Marek Sikora; Łukasz Wróbel

doi:10.1007/978-3-319-99987-6_14

Covering approach to action rule learning

Paweł Matyszok
, Marek Sikora
, Łukasz Wróbel

Department of Computer Networks and Systems (RAU/RAU9)

Silesian University of Technology

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

Abstract

Action rules specify recommendations which should be followed in order to transfer objects to the desired decision class. This paper presents a proposal of a novel method for induction of action rules directly from a dataset. The proposed algorithm follows the so-called covering schema and employs a pruning procedure, thus being able to produce comprehensible rule sets. An experimental study shows that the proposed method is able to discover strong actions of superior accuracy.

Original language	English
Title of host publication	Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings
Editors	Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bozena Malysiak-Mrozek, Daniel Kostrzewa
Publisher	Springer Verlag
Pages	182-193
Number of pages	12
ISBN (Print)	9783319999869
DOIs	https://doi.org/10.1007/978-3-319-99987-6_14
Publication status	Published - 2018
Event	14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018 - Poznan, Poland Duration: 18 Sept 2018 → 20 Sept 2018

Publication series

Name	Communications in Computer and Information Science
Volume	928
ISSN (Print)	1865-0929

Conference

Conference	14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018
Country/Territory	Poland
City	Poznan
Period	18/09/18 → 20/09/18

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-3-319-99987-6_14

Cite this

Matyszok, P., Sikora, M., & Wróbel, Ł. (2018). Covering approach to action rule learning. In S. Kozielski, D. Mrozek, P. Kasprowski, B. Malysiak-Mrozek, & D. Kostrzewa (Eds.), Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings (pp. 182-193). (Communications in Computer and Information Science; Vol. 928). Springer Verlag. https://doi.org/10.1007/978-3-319-99987-6_14

Matyszok, Paweł ; Sikora, Marek ; Wróbel, Łukasz. / Covering approach to action rule learning. Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings. editor / Stanislaw Kozielski ; Dariusz Mrozek ; Pawel Kasprowski ; Bozena Malysiak-Mrozek ; Daniel Kostrzewa. Springer Verlag, 2018. pp. 182-193 (Communications in Computer and Information Science).

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title = "Covering approach to action rule learning",

abstract = "Action rules specify recommendations which should be followed in order to transfer objects to the desired decision class. This paper presents a proposal of a novel method for induction of action rules directly from a dataset. The proposed algorithm follows the so-called covering schema and employs a pruning procedure, thus being able to produce comprehensible rule sets. An experimental study shows that the proposed method is able to discover strong actions of superior accuracy.",

author = "Pawe{\l} Matyszok and Marek Sikora and {\L}ukasz Wr{\'o}bel",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018 ; Conference date: 18-09-2018 Through 20-09-2018",

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doi = "10.1007/978-3-319-99987-6\_14",

language = "English",

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booktitle = "Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings",

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Matyszok, P, Sikora, M & Wróbel, Ł 2018, Covering approach to action rule learning. in S Kozielski, D Mrozek, P Kasprowski, B Malysiak-Mrozek & D Kostrzewa (eds), Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings. Communications in Computer and Information Science, vol. 928, Springer Verlag, pp. 182-193, 14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, 18/09/18. https://doi.org/10.1007/978-3-319-99987-6_14

Covering approach to action rule learning. / Matyszok, Paweł; Sikora, Marek ; Wróbel, Łukasz.
Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings. ed. / Stanislaw Kozielski; Dariusz Mrozek; Pawel Kasprowski; Bozena Malysiak-Mrozek; Daniel Kostrzewa. Springer Verlag, 2018. p. 182-193 (Communications in Computer and Information Science; Vol. 928).

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

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N1 - Publisher Copyright: © Springer Nature Switzerland AG 2018.

PY - 2018

Y1 - 2018

N2 - Action rules specify recommendations which should be followed in order to transfer objects to the desired decision class. This paper presents a proposal of a novel method for induction of action rules directly from a dataset. The proposed algorithm follows the so-called covering schema and employs a pruning procedure, thus being able to produce comprehensible rule sets. An experimental study shows that the proposed method is able to discover strong actions of superior accuracy.

AB - Action rules specify recommendations which should be followed in order to transfer objects to the desired decision class. This paper presents a proposal of a novel method for induction of action rules directly from a dataset. The proposed algorithm follows the so-called covering schema and employs a pruning procedure, thus being able to produce comprehensible rule sets. An experimental study shows that the proposed method is able to discover strong actions of superior accuracy.

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A2 - Kasprowski, Pawel

A2 - Malysiak-Mrozek, Bozena

A2 - Kostrzewa, Daniel

PB - Springer Verlag

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Matyszok P, Sikora M , Wróbel Ł. Covering approach to action rule learning. In Kozielski S, Mrozek D, Kasprowski P, Malysiak-Mrozek B, Kostrzewa D, editors, Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety - 14th International Conference, BDAS 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Proceedings. Springer Verlag. 2018. p. 182-193. (Communications in Computer and Information Science). doi: 10.1007/978-3-319-99987-6_14

Covering approach to action rule learning

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ASJC Scopus subject areas

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