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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 5 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
FOCS
2008
IEEE
13 years 11 months ago
What Can We Learn Privately?
Learning problems form an important category of computational tasks that generalizes many of the computations researchers apply to large real-life data sets. We ask: what concept ...
Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi ...
ICCS
2007
Springer
13 years 11 months ago
Quo Vadis, CS? - On the (non)-Impact of Conceptual Structures on the Semantic Web
Abstract. Conceptual Structures is a field of research which shares abstract concepts and interests with recent work on knowledge representation for the Semantic Web. However, whi...
Sebastian Rudolph, Markus Krötzsch, Pascal Hi...
SIGIR
2008
ACM
13 years 5 months ago
Deep classification in large-scale text hierarchies
Most classification algorithms are best at categorizing the Web documents into a few categories, such as the top two levels in the Open Directory Project. Such a classification me...
Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu