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KDD
2009
ACM
132views Data Mining» more  KDD 2009»
16 years 11 days ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 7 days ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 7 days 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
IMC
2010
ACM
14 years 9 months ago
Listen to me if you can: tracking user experience of mobile network on social media
Social media sites such as Twitter continue to grow at a fast pace. People of all generations use social media to exchange messages and share experiences of their life in a timely...
Tongqing Qiu, Junlan Feng, Zihui Ge, Jia Wang, Jun...
KDD
2002
ACM
175views Data Mining» more  KDD 2002»
16 years 7 days ago
Mining product reputations on the Web
Knowing the reputations of your own and/or competitors' products is important for marketing and customer relationship management. It is, however, very costly to collect and a...
Satoshi Morinaga, Kenji Yamanishi, Kenji Tateishi,...