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» A General Divide and Conquer Approach for Process Mining
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SDM
2011
SIAM
243views Data Mining» more  SDM 2011»
14 years 2 months ago
Data Integration via Constrained Clustering: An Application to Enzyme Clustering
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
Elisa Boari de Lima, Raquel Cardoso de Melo Minard...
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
15 years 8 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
ICDE
2009
IEEE
176views Database» more  ICDE 2009»
16 years 27 days ago
Discovering Conditional Functional Dependencies
This paper investigates the discovery of conditional functional dependencies (CFDs). CFDs are a recent extension of functional dependencies (FDs) by supporting patterns of semantic...
Wenfei Fan, Floris Geerts, Laks V. S. Lakshmanan, ...
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KDD
2004
ACM
116views Data Mining» more  KDD 2004»
15 years 4 months ago
A system for automated mapping of bill-of-materials part numbers
Part numbers are widely used within an enterprise throughout the manufacturing process. The point of entry of such part numbers into this process is normally via a Bill of Materia...
Jayant Kalagnanam, Moninder Singh, Sudhir Verma, M...
KDD
2005
ACM
153views Data Mining» more  KDD 2005»
15 years 11 months ago
Improving discriminative sequential learning with rare--but--important associations
Discriminative sequential learning models like Conditional Random Fields (CRFs) have achieved significant success in several areas such as natural language processing, information...
Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu ...