Temporal Data Mining is a rapidly evolving area of research that is at the intersection of several disciplines, including statistics, temporal pattern recognition, temporal databases, optimisation, visualisation, high-performance computing, and parallel computing. This short paper is intended to serve a briefly discussion on a particular Temporal Data Mining task: Temporal Cluster Analysis
Temporal Data Mining:clustering methods and algorithms / Scepi, Germana; Milone, G.. - STAMPA. - (2007), pp. 73-78. (Intervento presentato al convegno CLADAG 07 tenutosi a macerata nel settembre 2007).
Temporal Data Mining:clustering methods and algorithms
SCEPI, GERMANA;
2007
Abstract
Temporal Data Mining is a rapidly evolving area of research that is at the intersection of several disciplines, including statistics, temporal pattern recognition, temporal databases, optimisation, visualisation, high-performance computing, and parallel computing. This short paper is intended to serve a briefly discussion on a particular Temporal Data Mining task: Temporal Cluster AnalysisFile in questo prodotto:
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