MOSubdue: a Pareto dominance-based multiobjective Subdue algorithm for frequent subgraph mining - Shelokar, Prakash; Quirin, Arnaud; Cordón, Óscar (Knowledge and information systems, 2013)
Keywords: Algorithms; Analysis; Applied sciences; Computer Science; Computer science; control theory; systems; Customizing; Data mining; Data Mining and Knowledge Discovery; Data processing. List processing. Character string processing; Database Management; Dominance; Exact sciences and technology; Graph theory; Graphs; Hotels & motels; Information retrieval. Graph; Information Storage and Retrieval; Information systems; Information Systems and Communication Service; Information Systems Applications (incl.Internet); Information systems. Data bases; IT in Business; Memory organisation. Data processing; Objectives; Optimization; Pareto optimality; Pareto optimum; Preferences; Regular Paper; Searching; Software; Studies; Tasks; Theoretical computing; Pareto-based multiobjective optimization; Multiobjective graph-based data mining; Graph-based data mining; Subdue; Frequent subgraph mining; Gaston; Evolutionary multiobjective optimization; Evolutionary algorithm; Multiobjective programming; Data mining; Optimization; Business process; Log file; Mathematical programming; Data analysis; Proximity; Pareto optimum; Dominance; Graph theory; Lattice; Preference; Subgraph; Search tree; High frequency; User behavior