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» Clustering performance data efficiently at massive scales
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97
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KDD
2008
ACM
167views Data Mining» more  KDD 2008»
16 years 1 months ago
A sequential dual method for large scale multi-class linear svms
Efficient training of direct multi-class formulations of linear Support Vector Machines is very useful in applications such as text classification with a huge number examples as w...
S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang...
KDD
2002
ACM
160views Data Mining» more  KDD 2002»
16 years 1 months ago
Scaling multi-class support vector machines using inter-class confusion
Support vector machines (SVMs) excel at two-class discriminative learning problems. They often outperform generative classifiers, especially those that use inaccurate generative m...
Shantanu Godbole, Sunita Sarawagi, Soumen Chakraba...
HASE
2007
IEEE
15 years 7 months ago
A Nonparametric Cusum Algorithm for Timeslot Sequences with Applications to Network Surveillance
We adapt the classic cusum change-point detection algorithm for applications to data network monitoring where various and numerous performance and reliability metrics are availabl...
Qi Zhang, Carlos Rendón, Veronica Montes De...
FGCS
2008
95views more  FGCS 2008»
14 years 11 months ago
SemreX: Efficient search in a semantic overlay for literature retrieval
The World Wide Web is growing at such a pace that even the biggest centralized search engines are able to index only a small part of the available documents on the Internet. The d...
Hai Jin, Hanhua Chen
99
Voted
CINQ
2004
Springer
125views Database» more  CINQ 2004»
15 years 6 months ago
The Hows, Whys, and Whens of Constraints in Itemset and Rule Discovery
Many researchers in our community (this author included) regularly emphasize the role constraints play in improving performance of data-mining algorithms. This emphasis has led to ...
Roberto J. Bayardo