TY - GEN
T1 - Covering approach to action rule learning
AU - Matyszok, Paweł
AU - Sikora, Marek
AU - Wróbel, Łukasz
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.
UR - https://www.scopus.com/pages/publications/85053842688
U2 - 10.1007/978-3-319-99987-6_14
DO - 10.1007/978-3-319-99987-6_14
M3 - Conference contribution
AN - SCOPUS:85053842688
SN - 9783319999869
T3 - Communications in Computer and Information Science
SP - 182
EP - 193
BT - 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
A2 - Kozielski, Stanislaw
A2 - Mrozek, Dariusz
A2 - Kasprowski, Pawel
A2 - Malysiak-Mrozek, Bozena
A2 - Kostrzewa, Daniel
PB - Springer Verlag
T2 - 14th International Conference on Beyond Databases, Architectures and Structures, BDAS 2018 Held at the 24th IFIP World Computer Congress, WCC 2018
Y2 - 18 September 2018 through 20 September 2018
ER -