Mining Complex Data

Djamel Abdelkader Zighed (1) , Shusaku Tsumoto (2) , Zbigniew Ras (3) , Hakim Hacid (1)

1 ERIC - Equipe de Recherche en Ingénierie des Connaissances
2 Shimane University
3 UNC - University of North Carolina [Chapel Hill]

This book constitutes the refereed proceedings of the Third International Workshop on Mining Complex Data, MCD 2007, held in Warsaw, Poland, in September 2007, co-located with ECML and PKDD 2007. The 20 revised full papers presented were carefully reviewed and selected; they present original results on knowledge discovery from complex data. In contrast to the typical tabular data, complex data can consist of heterogenous data types, can come from different sources, or live in high dimensional spaces. All these specificities call for new data mining strategies.

Mots clés: adaptive clustering; complex data; conceptual clustering; data mining; feature analysis; feature selection; knowledge discovery; ontology; pattern extraction; software mining; text mining; trajectory analysis

Domaines: Recherche d'information [cs.IR]

Djamel Abdelkader Zighed, Shusaku Tsumoto, Zbigniew Ras, Hakim Hacid (Dir.). Mining Complex Data. Springer, pp.265, 2008. ⟨hal-00521147⟩