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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
14 years 8 months ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
KDD
2006
ACM
185views Data Mining» more  KDD 2006»
14 years 8 months ago
How to Define Searching Sessions on Web Search Engines
We investigate three methods for defining a session on Web search engines. We examine 2,465,145 interactions from 534,507 Web searchers. We compare defining sessions using: 1) Int...
Bernard J. Jansen, Amanda Spink, Vinish Kathuria
KDD
2005
ACM
160views Data Mining» more  KDD 2005»
14 years 8 months ago
Optimizing time series discretization for knowledge discovery
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
Alfred Ultsch, Fabian Mörchen
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 8 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler
KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 8 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider