We provide a report for the ACM SIGKDD community about the 2008 Workshop on Algorithms for Modern Massive Data Sets (MMDS 2008), its origin in MMDS 2006, and future directions for...
Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlss...
This paper investigates CSCW aspects of large-scale technical projects based on a case study of a specific Danish engineering company and uncovers challenges to CSCW applications ...
Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
Abstract. Data Mining is often required to be performed among a number of groups of sites, where the precondition is that no privacy of any site should be leaked out to other sites...