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» Generalized Framework for Syntax-Based Relation Mining
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KDD
2006
ACM
180views Data Mining» more  KDD 2006»
16 years 1 days ago
Learning the unified kernel machines for classification
Kernel machines have been shown as the state-of-the-art learning techniques for classification. In this paper, we propose a novel general framework of learning the Unified Kernel ...
Steven C. H. Hoi, Michael R. Lyu, Edward Y. Chang
PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
14 years 10 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
KDD
2010
ACM
282views Data Mining» more  KDD 2010»
15 years 3 months ago
Optimizing debt collections using constrained reinforcement learning
In this paper, we propose and develop a novel approach to the problem of optimally managing the tax, and more generally debt, collections processes at financial institutions. Our...
Naoki Abe, Prem Melville, Cezar Pendus, Chandan K....
WWW
2004
ACM
16 years 9 days ago
E-learning personalization based on itineraries and long-term navigational behavior
In this paper we describe a practical framework for studying the navigational behavior of the users of an e-learning environment integrated in a virtual campus. The students navig...
Enric Mor, Julià Minguillón
ICDM
2008
IEEE
190views Data Mining» more  ICDM 2008»
15 years 6 months ago
Simultaneous Co-segmentation and Predictive Modeling for Large, Temporal Marketing Data
Several marketing problems involve prediction of customer purchase behavior and forecasting future preferences. We consider predictive modeling of large scale, bi-modal or multimo...
Meghana Deodhar, Joydeep Ghosh