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KDD
2006
ACM
165views Data Mining» more  KDD 2006»
16 years 3 months ago
Training linear SVMs in linear time
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Thorsten Joachims
127
Voted
KDD
2006
ACM
183views Data Mining» more  KDD 2006»
16 years 3 months ago
Discovering interesting patterns through user's interactive feedback
In this paper, we study the problem of discovering interesting patterns through user's interactive feedback. We assume a set of candidate patterns (i.e., frequent patterns) h...
Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han
113
Voted
SOCA
2007
IEEE
15 years 9 months ago
Context-aware Process Support through Automatic Selection and Invocation of Semantic Web Services
Current technologies aimed at supporting processes – whether it is a business process or a learning process – are usually based on using a dedicated set of metadata to describ...
Stefan Dietze, Alessio Gugliotta, John Domingue
133
Voted
AI
1998
Springer
15 years 6 months ago
Test-Driving TANKA: Evaluating a Semi-automatic System of Text Analysis for Knowledge Acquisition
The evaluation of a large implemented natural language processing system involves more than its application to a common performance task. Such tasks have been used in the message u...
Ken Barker, Sylvain Delisle, Stan Szpakowicz
118
Voted
ICWS
2007
IEEE
15 years 4 months ago
A Semantic Web Services-based Infrastructure for Context-Adaptive Process Support
Current technologies aimed at supporting processes – whether it is a business or learning process – primarily follow a metadata- and data-centric paradigm. Whereas process met...
Stefan Dietze, Alessio Gugliotta, John Domingue