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140
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ICML
2004
IEEE
16 years 3 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 3 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
MOBIHOC
2009
ACM
16 years 3 months ago
Aging rules: what does the past tell about the future in mobile ad-hoc networks?
The study in mobile ad-hoc networks (MANET) is facing challenges brought by recent discovery of non-exponential behavior of the inter-contact time distribution of mobile nodes. In...
Han Cai, Do Young Eun
135
Voted
KDD
2006
ACM
191views Data Mining» more  KDD 2006»
16 years 2 months ago
Beyond classification and ranking: constrained optimization of the ROI
Classification has been commonly used in many data mining projects in the financial service industry. For instance, to predict collectability of accounts receivable, a binary clas...
Lian Yan, Patrick Baldasare
CHI
2007
ACM
16 years 2 months ago
InkSeine: In Situ search for active note taking
Using a notebook to sketch designs, reflect on a topic, or capture and extend creative ideas are examples of active note taking tasks. Optimal experience for such tasks demands co...
Ken Hinckley, Shengdong Zhao, Raman Sarin, Patrick...