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KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 7 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
KDD
2006
ACM
179views Data Mining» more  KDD 2006»
16 years 7 months ago
Group formation in large social networks: membership, growth, and evolution
The processes by which communities come together, attract new members, and develop over time is a central research issue in the social sciences -- political movements, professiona...
Lars Backstrom, Daniel P. Huttenlocher, Jon M. Kle...
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
16 years 7 months ago
Computer aided detection via asymmetric cascade of sparse hyperplane classifiers
This paper describes a novel classification method for computer aided detection (CAD) that identifies structures of interest from medical images. CAD problems are challenging larg...
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Tosh...
KDD
2005
ACM
104views Data Mining» more  KDD 2005»
16 years 7 months ago
A hit-miss model for duplicate detection in the WHO drug safety database
The WHO Collaborating Centre for International Drug Monitoring in Uppsala, Sweden, maintains and analyses the world's largest database of reports on suspected adverse drug re...
Andrew Bate, G. Niklas Norén, Roland Orre
183
Voted
KDD
2005
ACM
146views Data Mining» more  KDD 2005»
16 years 7 months ago
Anonymity-preserving data collection
Protection of privacy has become an important problem in data mining. In particular, individuals have become increasingly unwilling to share their data, frequently resulting in in...
Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright