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Modeling Machine Learning and Data Mining Problems with FO()

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Abstract

This paper reports on the use of the FO() language and the IDP framework for modeling and solving some machine learning and data mining tasks. The core component of a model in the IDP framework is an FO() theory consisting of formulas in first order logic and definitions; the latter are basically logic programs where clause bodies can have arbitrary first order formulas. Hence, it is a small step for a well-versed computer scientist to start modeling. We describe some models resulting from the collaboration between IDP experts and domain experts solving machine learning and data mining tasks. A first task is in the domain of stemmatology, a domain of philology concerned with the relationship between surviving variant versions of text. A second task is about a somewhat similar problem within biology where phylogenetic trees are used to represent the evolution of species. A third and final task is about learning a minimal automaton consistent with a given set of strings. For each task, we introduce the problem, present the IDP code and report on some experiments.

BibTeX - Entry

@InProceedings{blockeel_et_al:LIPIcs:2012:3604,
  author =	{Hendrik Blockeel and Bart Bogaerts and Maurice Bruynooghe and Broes De Cat and Stef De Pooter and Marc Denecker and Anthony Labarre and Jan Ramon and Sicco Verwer},
  title =	{{Modeling Machine Learning and Data Mining Problems with FO()}},
  booktitle =	{Technical Communications of the 28th International Conference on Logic Programming (ICLP'12)},
  pages =	{14--25},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-939897-43-9},
  ISSN =	{1868-8969},
  year =	{2012},
  volume =	{17},
  editor =	{Agostino Dovier and V{\'i}tor Santos Costa},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2012/3604},
  URN =		{urn:nbn:de:0030-drops-36049},
  doi =		{http://dx.doi.org/10.4230/LIPIcs.ICLP.2012.14},
  annote =	{Keywords: Knowledge representation and reasoning, declarative modeling, logic programming, knowledge base systems, FO(), IDP framework, stemmatology, phylogene}
}

Keywords: Knowledge representation and reasoning, declarative modeling, logic programming, knowledge base systems, FO(), IDP framework, stemmatology, phylogene
Seminar: Technical Communications of the 28th International Conference on Logic Programming (ICLP'12)
Issue date: 2012
Date of publication: 2012


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