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» Breeding Decision Trees Using Evolutionary Techniques
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ICTAI
1996
IEEE
15 years 2 months ago
Forward-Tracking: A Technique for Searching Beyond Failure
In many applications, such as decision support, negotiation, planning, scheduling, etc., one needs to express requirements that can only be partially satisfied. In order to expres...
Elena Marchiori, Massimo Marchiori, Joost N. Kok
KDD
2000
ACM
97views Data Mining» more  KDD 2000»
15 years 1 months ago
Towards an effective cooperation of the user and the computer for classification
Decision trees have been successfully used for the task of classification. However, state-of-the-art algorithms do not incorporate the user in the tree construction process. This ...
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel
FLAIRS
2007
15 years 14 days ago
A Machine Learning Approach to Personal Pronoun Resolution in Turkish
In this paper, we present a machine learning based approach for estimating antecedents of anaphorically used personal pronouns in Turkish sentences using a decision tree classific...
Savas Yildirim, Yilmaz Kiliçaslan
124
Voted
INCDM
2010
Springer
208views Data Mining» more  INCDM 2010»
14 years 12 months ago
Combining Unsupervised and Supervised Data Mining Techniques for Conducting Customer Portfolio Analysis
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...
GECCO
2006
Springer
213views Optimization» more  GECCO 2006»
15 years 1 months ago
Evolutionary unit testing of object-oriented software using strongly-typed genetic programming
Evolutionary algorithms have successfully been applied to software testing. Not only approaches that search for numeric test data for procedural test objects have been investigate...
Stefan Wappler, Joachim Wegener