MOSubdue: a Pareto dominance-based multiobjective Subdue algorithm for frequent subgraph mining

Author:

Shelokar Prakash,Quirin Arnaud,Cordón Óscar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference54 articles.

1. Aggarwal, C, Wang, H (eds) (2010) Managing and mining graph data series. Springer, Berlin

2. Baños R, Gil C, Montoya MG, Ortega J (2004) A new Pareto-based algorithm for multi-objective graph partitioning. In: Aykanat C, Dayar T, Körpeoglu I (eds) Computer and Information Sciences—ISCIS 2004, vol 3280 of Lecture Notes in Computer Science. Springer, Berlin, pp 779–788

3. Borgelt C, Berthold MR (2002) Mining molecular fragments: finding relevant substructures of molecules. In: Proceeding of IEEE Int Conf Data Min (ICDM’02), pp 51–58

4. Chankong V, Haimes YY (1983) Multiobjective decision making theory and methodology. North-Holland, Amsterdam

5. Coello CA, Lamont GB, Van Veldhuizen DA (2007) Evolutionary algorithms for solving multi-objective problems. Springer, Berlin

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