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» Discovering Classification from Data of Multiple Sources
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SIGMOD
2003
ACM
150views Database» more  SIGMOD 2003»
14 years 7 months ago
Capturing both Types and Constraints in Data Integration
We propose a framework for integrating data from multiple relational sources into an XML document that both conforms to a given DTD and satisfies predefined XML constraints. The f...
Michael Benedikt, Chee Yong Chan, Wenfei Fan, Juli...
COLING
2008
13 years 9 months ago
Choosing the Right Translation: A Syntactically Informed Classification Approach
One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
Simon Zwarts, Mark Dras
SIGKDD
2002
113views more  SIGKDD 2002»
13 years 7 months ago
Combining Data and Text Mining Techniques for Yeast Gene Regulation Prediction: A Case Study
In order to solve task 2 of the KDD Cup 2002, we exploited various available information sources. In particular, use of relational information describing the interactions among ge...
Mark-A. Krogel, Marcus Denecke, Marco Landwehr, To...
IJCAI
2001
13 years 9 months ago
Probabilistic Classification and Clustering in Relational Data
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
Benjamin Taskar, Eran Segal, Daphne Koller
ISMB
2000
13 years 9 months ago
Analysis of Gene Expression Microarrays for Phenotype Classification
Several microarray technologies that monitor the level of expression of a large number of genes have recently emerged. Given DNA-microarray data for a set of cells characterized b...
Andrea Califano, Gustavo Stolovitzky, Yuhai Tu