Combined mining: Analyzing object and pattern relations for discovering and constructing complex yet actionable patterns

摘要: Combined mining is a technique for analyzing object relations and pattern relations, extracting constructing actionable knowledge (patterns or exceptions). Although combined patterns can be built within single method, such as sequential by aggregating relevant frequent sequences, this composed of multiple constituent components (the left hand side) from data sources, which are represented different feature spaces, identified diverse modeling methods. In some cases, also associated with certain impacts (influence, action, conclusion, on the right side). This paper presents an abstract high-level picture perspective relation analysis. Several fundamental aspects discussed, including interaction, dynamics, impact, relation, structure, paradigm, formation criteria, presentation (in terms ontology dynamic charts). We briefly illustrate concepts discuss how they applied to complex in either multifeature, multisource, multimethod scenario. © 2013 Wiley Periodicals, Inc.