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SDM
2004
SIAM
229views Data Mining» more  SDM 2004»
15 years 5 months ago
R-MAT: A Recursive Model for Graph Mining
How does a `normal' computer (or social) network look like? How can we spot `abnormal' sub-networks in the Internet, or web graph? The answer to such questions is vital ...
Deepayan Chakrabarti, Yiping Zhan, Christos Falout...
ICDM
2009
IEEE
139views Data Mining» more  ICDM 2009»
15 years 2 months ago
Frequent Pattern Discovery from a Single Graph with Quantitative Itemsets
In this paper, we focus on a single graph whose vertices contain a set of quantitative attributes. Several networks can be naturally represented in this complex graph. An example i...
Yuuki Miyoshi, Tomonobu Ozaki, Takenao Ohkawa
AIL
2010
60views more  AIL 2010»
15 years 1 months ago
Network-based filtering for large email collections in E-Discovery
The information overload in E-Discovery proceedings makes reviewing expensive and it increases the risk of failure to produce results on time and consistently. New interactive tec...
Hans Henseler
CIKM
2010
Springer
14 years 11 months ago
Modeling betweenness for question answering
The gap between the user's information need and query is expanding due to the pervasiveness of Web search. Multimedia question answering is restricted by disjoint infrastruct...
Brandeis Marshall
AAAI
2011
14 years 4 months ago
Learning in Repeated Games with Minimal Information: The Effects of Learning Bias
Automated agents for electricity markets, social networks, and other distributed networks must repeatedly interact with other intelligent agents, often without observing associate...
Jacob W. Crandall, Asad Ahmed, Michael A. Goodrich