Subgroup Discovery Algorithms: A Survey and Empirical Evaluation

Author:

Helal Sumyea

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Reference53 articles.

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2. Novak P K, Lavrač N, Webb G I. Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining. The Journal of Machine Learning Research, 2009, 10: 377–403.

3. Gamberger D, Lavrač N, Krstačić G. Active subgroup mining: A case study in coronary heart disease risk group detection. Artificial Intelligence in Medicine, 2003, 28(1): 27–57.

4. Gamberger D, Lavrač N. Supporting factors in descriptive analysis of brain ischaemia. In Proc. the 11th Conference on Artificial Intelligence in Medicine (AIME), Jul. 2007, pp.155-159.

5. Gamberger D, Lavrač N, Krstačić A, Krstačić G. Clinical data analysis based on iterative subgroup discovery: Experiments in brain ischaemia data analysis. Applied Intelligence, 2007, 27(3): 205–217.

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