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KDD
2007
ACM
197views Data Mining» more  KDD 2007»
14 years 10 months ago
Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming
The kernel function plays a central role in kernel methods. In this paper, we consider the automated learning of the kernel matrix over a convex combination of pre-specified kerne...
Jieping Ye, Shuiwang Ji, Jianhui Chen
KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 10 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
KDD
2005
ACM
137views Data Mining» more  KDD 2005»
14 years 10 months ago
A generalized framework for mining spatio-temporal patterns in scientific data
In this paper, we present a general framework to discover spatial associations and spatio-temporal episodes for scientific datasets. In contrast to previous work in this area, fea...
Hui Yang, Srinivasan Parthasarathy, Sameep Mehta
KDD
2004
ACM
163views Data Mining» more  KDD 2004»
14 years 10 months ago
Exploiting dictionaries in named entity extraction: combining semi-Markov extraction processes and data integration methods
We consider the problem of improving named entity recognition (NER) systems by using external dictionaries--more specifically, the problem of extending state-of-the-art NER system...
William W. Cohen, Sunita Sarawagi
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 10 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...
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