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KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 7 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
PODS
2009
ACM
112views Database» more  PODS 2009»
16 years 7 months ago
Optimal sampling from sliding windows
APPEARED IN ACM PODS-2009. A sliding windows model is an important case of the streaming model, where only the most "recent" elements remain active and the rest are disc...
Vladimir Braverman, Rafail Ostrovsky, Carlo Zaniol...
KDD
2008
ACM
153views Data Mining» more  KDD 2008»
16 years 6 months ago
Text classification, business intelligence, and interactivity: automating C-Sat analysis for services industry
Text classification has matured as a research discipline over the last decade. Independently, business intelligence over structured databases has long been a source of insights fo...
Shantanu Godbole, Shourya Roy
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
16 years 6 months ago
Assessing data mining results via swap randomization
The problem of assessing the significance of data mining results on high-dimensional 0?1 data sets has been studied extensively in the literature. For problems such as mining freq...
Aristides Gionis, Heikki Mannila, Panayiotis Tsapa...
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 6 months ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea
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