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» Theoretical Frameworks for Data Mining
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ACSC
2008
IEEE
14 years 3 months ago
Integrating recommendation models for improved web page prediction accuracy
Recent research initiatives have addressed the need for improved performance of Web page prediction accuracy that would profit many applications, ebusiness in particular. Differ...
Faten Khalil, Jiuyong Li, Hua Wang
PKDD
2009
Springer
153views Data Mining» more  PKDD 2009»
14 years 3 months ago
Subspace Regularization: A New Semi-supervised Learning Method
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-L...
KDD
1995
ACM
173views Data Mining» more  KDD 1995»
14 years 22 days ago
Knowledge Discovery in Textual Databases (KDT)
The information age is characterizedby a rapid growth in the amountof information availablein electronicmedia. Traditional data handling methods are not adequate to cope with this...
Ronen Feldman, Ido Dagan
PKDD
2010
Springer
184views Data Mining» more  PKDD 2010»
13 years 7 months ago
Shift-Invariant Grouped Multi-task Learning for Gaussian Processes
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Yuyang Wang, Roni Khardon, Pavlos Protopapas
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 10 months ago
Simultaneous Unsupervised Learning of Disparate Clusterings
Most clustering algorithms produce a single clustering for a given data set even when the data can be clustered naturally in multiple ways. In this paper, we address the difficult...
Prateek Jain, Raghu Meka, Inderjit S. Dhillon