Rule quality measure-based induction of unordered sets of regression rules

Marek Sikora; Adam Skowron; Łukasz Wróbel

doi:10.1007/978-3-642-33185-5_18

Rule quality measure-based induction of unordered sets of regression rules

Marek Sikora
, Adam Skowron
, Łukasz Wróbel

Katedra Sieci i Systemów Komputerowych (RAU/RAU9)

Institute of Innovative Technologies EMAG
Silesian University of Technology

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

8 Cytowania z bazy Scopus

Abstrakt

This paper presents the algorithm for induction of unordered sets of regression rules. It uses sequential covering strategy and dynamic reduction to classification approach. The main focus is put on quality measures which control the process of rule induction. We examined the effectiveness of nine quality measures. Moreover, we propose and compare three schemes of the prediction of target attribute value of examples covered by more than one rule. We also show rule filtration algorithm for the reduction of the number of generated rules. All experiments were carried out on 35 benchmark datasets.

Język oryginału	angielski
Tytuł publikacji goszczącej	Artificial Intelligence
Podtytuł publikacji goszczącej	Methodology, Systems, and Applications - 15th International Conference, AIMSA 2012, Proceedings
Strony	162-171
Liczba stron	10
Identyfikatory DOI	https://doi.org/10.1007/978-3-642-33185-5_18
Status publikacji	Opublikowano - 2012
Wydarzenie	15th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2012 - Varna, Bułgaria Czas trwania: 12 wrz 2012 → 15 wrz 2012

Seria publikacji

Nazwa	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Tom	7557 LNAI
ISSN (drukowany)	0302-9743
ISSN (elektroniczny)	1611-3349

Konferencja

Konferencja	15th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2012
Kraj/Terytorium	Bułgaria
Miejscowość	Varna
Okres	12/09/12 → 15/09/12

Obszary tematyczne ASJC Scopus

Informatyka teoretyczna
Informatyka ogólna

Uzyskaj dostęp do dokumentu

10.1007/978-3-642-33185-5_18

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Sikora, M., Skowron, A., & Wróbel, Ł. (2012). Rule quality measure-based induction of unordered sets of regression rules. W Artificial Intelligence: Methodology, Systems, and Applications - 15th International Conference, AIMSA 2012, Proceedings (str. 162-171). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 7557 LNAI). https://doi.org/10.1007/978-3-642-33185-5_18

Sikora, Marek ; Skowron, Adam ; Wróbel, Łukasz. / Rule quality measure-based induction of unordered sets of regression rules. Artificial Intelligence: Methodology, Systems, and Applications - 15th International Conference, AIMSA 2012, Proceedings. 2012. str. 162-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{0640667783b1425083411d04e55354f7,

title = "Rule quality measure-based induction of unordered sets of regression rules",

abstract = "This paper presents the algorithm for induction of unordered sets of regression rules. It uses sequential covering strategy and dynamic reduction to classification approach. The main focus is put on quality measures which control the process of rule induction. We examined the effectiveness of nine quality measures. Moreover, we propose and compare three schemes of the prediction of target attribute value of examples covered by more than one rule. We also show rule filtration algorithm for the reduction of the number of generated rules. All experiments were carried out on 35 benchmark datasets.",

keywords = "prediction conflicts resolving, rule filtration, rule induction, rule quality measures, rule-based regression",

author = "Marek Sikora and Adam Skowron and {\L}ukasz Wr{\'o}bel",

year = "2012",

doi = "10.1007/978-3-642-33185-5\_18",

language = "English",

isbn = "9783642331848",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "162--171",

booktitle = "Artificial Intelligence",

note = "15th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2012 ; Conference date: 12-09-2012 Through 15-09-2012",

}

Sikora, M, Skowron, A & Wróbel, Ł 2012, Rule quality measure-based induction of unordered sets of regression rules. w Artificial Intelligence: Methodology, Systems, and Applications - 15th International Conference, AIMSA 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), tom 7557 LNAI, str. 162-171, 15th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2012, Varna, Bułgaria, 12/09/12. https://doi.org/10.1007/978-3-642-33185-5_18

Rule quality measure-based induction of unordered sets of regression rules. / Sikora, Marek; Skowron, Adam; Wróbel, Łukasz.
Artificial Intelligence: Methodology, Systems, and Applications - 15th International Conference, AIMSA 2012, Proceedings. 2012. str. 162-171 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Tom 7557 LNAI).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Rule quality measure-based induction of unordered sets of regression rules

AU - Sikora, Marek

AU - Skowron, Adam

AU - Wróbel, Łukasz

PY - 2012

Y1 - 2012

N2 - This paper presents the algorithm for induction of unordered sets of regression rules. It uses sequential covering strategy and dynamic reduction to classification approach. The main focus is put on quality measures which control the process of rule induction. We examined the effectiveness of nine quality measures. Moreover, we propose and compare three schemes of the prediction of target attribute value of examples covered by more than one rule. We also show rule filtration algorithm for the reduction of the number of generated rules. All experiments were carried out on 35 benchmark datasets.

AB - This paper presents the algorithm for induction of unordered sets of regression rules. It uses sequential covering strategy and dynamic reduction to classification approach. The main focus is put on quality measures which control the process of rule induction. We examined the effectiveness of nine quality measures. Moreover, we propose and compare three schemes of the prediction of target attribute value of examples covered by more than one rule. We also show rule filtration algorithm for the reduction of the number of generated rules. All experiments were carried out on 35 benchmark datasets.

KW - prediction conflicts resolving

KW - rule filtration

KW - rule induction

KW - rule quality measures

KW - rule-based regression

UR - https://www.scopus.com/pages/publications/84866697010

U2 - 10.1007/978-3-642-33185-5_18

DO - 10.1007/978-3-642-33185-5_18

M3 - Conference contribution

AN - SCOPUS:84866697010

SN - 9783642331848

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 162

EP - 171

BT - Artificial Intelligence

T2 - 15th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2012

Y2 - 12 September 2012 through 15 September 2012

ER -

Sikora M, Skowron A, Wróbel Ł. Rule quality measure-based induction of unordered sets of regression rules. W Artificial Intelligence: Methodology, Systems, and Applications - 15th International Conference, AIMSA 2012, Proceedings. 2012. str. 162-171. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33185-5_18

Rule quality measure-based induction of unordered sets of regression rules

Abstrakt

Seria publikacji

Konferencja

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

Fingerprint

Cytowanie