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KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 3 months ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
123
Voted
WWW
2004
ACM
16 years 3 months ago
On mining webclick streams for path traversal patterns
Mining user access patterns from a continuous stream of Web-clicks presents new challenges over traditional Web usage mining in a large static Web-click database. Modeling user ac...
Hua-Fu Li, Suh-Yin Lee, Man-Kwan Shan
146
Voted
SIGMOD
2010
ACM
149views Database» more  SIGMOD 2010»
14 years 9 months ago
On models and query languages for probabilistic processes
Probabilistic processes appear naturally in various contexts, with applications to Business Processes, XML data management and more. Many models for specifying and querying such p...
Daniel Deutch, Tova Milo
103
Voted
ICA
2004
Springer
15 years 8 months ago
Estimating Functions for Blind Separation when Sources Have Variance-Dependencies
The blind separation problem where the sources are not independent, but have variance-dependencies is discussed. Hyv¨arinen and Hurri[1] proposed an algorithm which requires no as...
Motoaki Kawanabe, Klaus-Robert Müller
GRID
2006
Springer
15 years 2 months ago
Resource Allocation in Streaming Environments
This paper considers resource allocation algorithms for processing streams of events on computational grids. For example, financial trading applications are executed on large comp...
Lu Tian, K. Mani Chandy