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» Discovering Interesting Subsets Using Statistical Analysis
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PVLDB
2010
125views more  PVLDB 2010»
13 years 8 months ago
Interesting-Phrase Mining for Ad-Hoc Text Analytics
Large text corpora with news, customer mail and reports, or Web 2.0 contributions offer a great potential for enhancing business-intelligence applications. We propose a framework ...
Srikanta J. Bedathur, Klaus Berberich, Jens Dittri...
KDD
1997
ACM
96views Data Mining» more  KDD 1997»
14 years 1 months ago
Using General Impressions to Analyze Discovered Classification Rules
One of the important problems in data mining is the evaluation of subjective interestingness of the discovered rules. Past research has found that in many real-life applications i...
Bing Liu, Wynne Hsu, Shu Chen
BMCBI
2005
110views more  BMCBI 2005»
13 years 9 months ago
Discovery of protein-protein interactions using a combination of linguistic, statistical and graphical information
Background: The rapid publication of important research in the biomedical literature makes it increasingly difficult for researchers to keep current with significant work in their...
James W. Cooper, Aaron Kershenbaum
SIGMETRICS
2010
ACM
213views Hardware» more  SIGMETRICS 2010»
14 years 2 months ago
Small subset queries and bloom filters using ternary associative memories, with applications
Associative memories offer high levels of parallelism in matching a query against stored entries. We design and analyze an architecture which uses a single lookup into a Ternary C...
Ashish Goel, Pankaj Gupta
ICDM
2010
IEEE
208views Data Mining» more  ICDM 2010»
13 years 7 months ago
Bonsai: Growing Interesting Small Trees
Graphs are increasingly used to model a variety of loosely structured data such as biological or social networks and entityrelationships. Given this profusion of large-scale graph ...
Stephan Seufert, Srikanta J. Bedathur, Juliá...