- author = "Jose M. Luna and Jose R. Romero and Cristobal Romero and Sebastian Ventura",
- title = "Discovering Subgroups by Means of Genetic Programming",
- booktitle = "Proceedings of the 16th European Conference on Genetic Programming, EuroGP 2013",
- year = "2013",
- month = "3-5 " # apr,
- editor = "Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Uyar and Bin Hu",
- series = "LNCS",
- volume = "7831",
- publisher = "Springer Verlag",
- address = "Vienna, Austria",
- pages = "121--132",
- organisation = "EvoStar",
- keywords = "genetic algorithms, genetic programming, grammar guided genetic programming, Data mining, subgroup discovery",
- isbn13 = "978-3-642-37206-3",
-
DOI = "
doi:10.1007/978-3-642-37207-0_11",
-
abstract = "This paper deals with the problem of discovering
subgroups in data by means of a grammar guided genetic
programming algorithm, each subgroup including a set of
related patterns. The proposed algorithm combines the
requirements of discovering comprehensible rules with
the ability of mining expressive and flexible solutions
thanks to the use of a context-free grammar. A major
characteristic of this algorithm is the small number of
parameters required, so the mining process is easy for
end-users.
The algorithm proposed is compared with existing subgroup discovery evolutionary algorithms. The experimental results reveal the excellent behaviour of this algorithm, discovering comprehensible subgroups and behaving better than the other algorithms. The conclusions obtained were reinforced through a series of non-parametric tests.",
- notes = "Part of \cite{Krawiec:2013:GP} EuroGP'2013 held in conjunction with EvoCOP2013, EvoBIO2013, EvoMusArt2013 and EvoApplications2013",
