KDD 2007 will be on Aug 12-15 in the neighborhood at San Jose. Here is my selection:
"Extracting Semantic Relations from Query Logs", Ricardo Baeza-Yates and Alessandro Tiberi
"Efficient Incremental Clustering with Constraints", Ian Davidson, S.S. Ravi, and Martin Ester
"A Probabilistic Framework for Relational Clustering", Bo Long, Zhongfei Zhang, and Philip S. Yu
"Tracking Multiple Topics for Finding Interesting Articles", Raymond Pon, Alfonso Cardenas, David Buttler, and Terence Critchlow
"Feature Selection Methods for Text Classification", Anirban Dasgupta, Petros Drineas, Boulos Harb, Vanja Josifovski, and Michael Mahoney
"Hierarchical Mixture Models: a Probabilistic Analysis", Mark Sandler
"Information distance from a question to an answer", Xian Zhang, Yu Hao, Xiaoyan Zhu, and Ming Li
"Statistical Change Detection for Multi-Dimensional Data", Xiuyao Song, Mingxi Wu, Chris Jermaine, and Sanjay Ranka
"Constraint-Driven Clustering", Rong Ge, Martin Ester, Wen Jin, and Ian Davidson
"Enhancing Semi-Supervised Clustering: A Feature Projection Perspective", Wei Tang, Hui Xiong, Shi Zhong, and Jie Wu
Wednesday, July 18, 2007
Reading List from KDD 2007
- Delip Rao at 12:57 PM
Principal Components: data mining, KDD, learning, reading list, research
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