Fourth SIGKDD Workshop on Temporal Data Mining: Network Reconstruction from Dynamic Data
Naren Ramakrishnan, Ramasamy Uthurusamy · 2006
Established in 2001, the SIGKDD workshop series on Temporal Data Mining (TDM) is aimed at inferring patterns from large databases that contain either explicit or implicit temporal information. Over the past decade, many powerful data mining techniques have been developed to analyze temporal and sequential data. The time is now fertile for addressing problems of larger scope under the purview of Temporal Data Mining. Hence, the focus of this year’s workshop dwells on the question: What can we infer about the structure of a complex dynamical system from observed temporal data? The goals of the workshop are to critically evaluate the need in this area by bringing together leading researchers from industry and academia, and to identify promising technologies and methodologies for doing the same.