Title: Analyzing manuscript traditions using constraint-based data mining
Authors: Andrews, Tara ×
Blockeel, Hendrik
Bogaerts, Bart
Bruynooghe, Maurice
Denecker, Marc
De Pooter, Stef
Macé, Caroline
Ramon, Jan #
Issue Date: Aug-2012
Host Document: Proceedings First Workshop on Combining Constraint Solving with Mining and Learning (ECAI 2012 workshop) pages:15-20
Conference: First Workshop on Combining Constraint Solving with Mining and Learning edition:2012 location:Montpellier, France date:27 August 2012
Abstract: Data mining tasks and algorithms are often categorized as belonging to one of a few specific types: clustering, association rule discovery, probabilistic modeling, etc. For some time now, it has been recognized that concrete tasks do not always fit nicely in this categorization. The concepts of constraint-based data mining and inductive querying have been proposed to alleviate this problem; they offer more flexibility with respect to specifying the task. In this paper, we illustrate an approach that goes one step further: we show how a general-purpose declarative modeling language can be used to specify and solve data mining tasks in the area of philology. These tasks have the following properties: they are easily described in words; they are of real interest to philologists; they cannot be performed using standard querying or data mining systems; manually programming a solution for them is challenging, time-consuming and error-prone. We show that a prototype declarative programming framework, IDP, allows for easy modeling and efficient solving of these tasks. We conclude from this case study that the declarative modeling approach to data mining has a large potential and deserves further investigation.
ISBN: 9781614990970
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Greek Studies, Leuven
Informatics Section
× corresponding author
# (joint) last author

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