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BMCBI
2008
95views more  BMCBI 2008»
13 years 9 months ago
Mining protein networks for synthetic genetic interactions
Background: The local connectivity and global position of a protein in a protein interaction network are known to correlate with some of its functional properties, including its e...
Sri R. Paladugu, Shan Zhao, Animesh Ray, Alpan Rav...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
14 years 3 months ago
Anti-monotonic Overlap-Graph Support Measures
In graph mining, a frequency measure is anti-monotonic if the frequency of a pattern never exceeds the frequency of a subpattern. The efficiency and correctness of most graph pat...
Toon Calders, Jan Ramon, Dries Van Dyck
PAKDD
1999
ACM
113views Data Mining» more  PAKDD 1999»
14 years 1 months ago
Characterization of Default Knowledge in Ripple Down Rules Method
Abstract. \Ripple Down Rules (RDR)" Method is one of the promising approaches to directly acquire and encode knowledge from human experts. It requires data to be supplied incr...
Takuya Wada, Tadashi Horiuchi, Hiroshi Motoda, Tak...
KDD
2002
ACM
93views Data Mining» more  KDD 2002»
14 years 9 months ago
Interactive deduplication using active learning
Deduplication is a key operation in integrating data from multiple sources. The main challenge in this task is designing a function that can resolve when a pair of records refer t...
Sunita Sarawagi, Anuradha Bhamidipaty
ICDCS
2010
IEEE
14 years 23 days ago
Sentomist: Unveiling Transient Sensor Network Bugs via Symptom Mining
—Wireless Sensor Network (WSN) applications are typically event-driven. While the source codes of these applications may look simple, they are executed with a complicated concurr...
Yangfan Zhou, Xinyu Chen, Michael R. Lyu, Jiangchu...