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[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Orthogonal nonnegative matrix t-factorizations for clustering

โœ Scribed by Ding, Chris; Li, Tao; Peng, Wei; Park, Haesun


Book ID
125488730
Publisher
ACM Press
Year
2006
Weight
725 KB
Category
Article
ISBN-13
9781595933393

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[ACM Press the 12th ACM SIGKDD internati
โœ Carvalho, Vitor R.; Cohen, William W. ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› ACM Press โš– 725 KB

To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such as perceptron or Winnow are naturally suited to stream processing; however, in practice multiple passes over the same trai