- author = "Lionel Martin and Frederic Moal and Christel Vrain",
- title = "A Relational Data Mining Tool Based on Genetic Programming",
- booktitle = "Proceedings of the 2nd European Symposium on Principles of Data Mining and Knowledge Discovery ({PKDD}-98)",
- year = "1998",
- editor = "Jan M. {\.{Z}}ytkow and Mohamed Quafafou",
- volume = "1510",
- series = "Lecture Notes in Artificial Intelligence",
- pages = "130--138",
- address = "Nantes, France",
- publisher_address = "Berlin",
- month = "23--26 " # sep,
- publisher = "Springer-Verlag",
- keywords = "genetic algorithms, genetic programming, data mining",
- isbn13 = "978-3-540-65068-3",
-
DOI = "
doi:10.1007/BFb0094813",
- size = "9 pages",
- abstract = "In this paper, we present a Data Mining tool based on Genetic Programming which enables to analyse complex databases, involving several relation schemes. In our approach, trees represent expressions of relational algebra and they are evaluated according to the way they discriminate positive and negative examples of the target concept. Nevertheless, relational algebra expressions are strongly typed and classical genetic operators, such as mutation and crossover, have been modified to prevent from building illegal expressions. The Genetic Programming approach that we have developed has been modelled in the framework of constraints.",
-
notes = "p134 Nice discussion of keeping data mining tree
queries valid under subtree crossover
",
- affiliation = "Universite du Orleans LIFO rue Leonard de Vinci BP 6759 45067 Orleans cedex 02 France rue Leonard de Vinci BP 6759 45067 Orleans cedex 02 France",
