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99
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ICML
2005
IEEE
16 years 3 months ago
Multi-way distributional clustering via pairwise interactions
We present a novel unsupervised learning scheme that simultaneously clusters variables of several types (e.g., documents, words and authors) based on pairwise interactions between...
Ron Bekkerman, Ran El-Yaniv, Andrew McCallum
120
Voted
WWW
2006
ACM
16 years 3 months ago
One document to bind them: combining XML, web services, and the semantic web
We present a paradigm for uniting the diverse strands of XML-based Web technologies by allowing them to be incorporated within a single document. This overcomes the distinction be...
Harry Halpin, Henry S. Thompson
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
16 years 3 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan
205
Voted
VLDB
2007
ACM
195views Database» more  VLDB 2007»
16 years 2 months ago
Modeling and Querying Vague Spatial Objects Using Shapelets
Research in modeling and querying spatial data has primarily focused on traditional "crisp" spatial objects with exact location and spatial extent. More recent work, how...
Daniel Zinn, Jim Bosch, Michael Gertz
134
Voted
ISPASS
2009
IEEE
15 years 9 months ago
Lonestar: A suite of parallel irregular programs
Until recently, parallel programming has largely focused on the exploitation of data-parallelism in dense matrix programs. However, many important application domains, including m...
Milind Kulkarni, Martin Burtscher, Calin Cascaval,...