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AAAI
1996
15 years 1 months ago
Learning Models for Multi-Source Integration
One issue involved in accessing multiple heterogeneous information sources is how to integrate the retrieved data. SIMS, an information mediator, handles this problem by mapping t...
Sheila Tejada, Craig A. Knoblock, Steven Minton
JMLR
2010
116views more  JMLR 2010»
14 years 6 months ago
Feature Selection, Association Rules Network and Theory Building
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
Sanjay Chawla
DBKDA
2010
IEEE
144views Database» more  DBKDA 2010»
14 years 10 months ago
Analysis of the Quality of Life after an Endoscopic Thoracic Sympathectomy: A Business Intelligence Approach
— Primary hyperhidrosis, a disorder characterized by an excessive sweating, has been treated by endoscopic thoracic sympathectomy. As a consequence of the surgery, patients impro...
Diana Goncalves, Maribel Yasmina Santos, Jorge Cru...
KDD
2004
ACM
112views Data Mining» more  KDD 2004»
16 years 7 days ago
A rank sum test method for informative gene discovery
Finding informative genes from microarray data is an important research problem in bioinformatics research and applications. Most of the existing methods rank features according t...
Lin Deng, Jian Pei, Jinwen Ma, Dik Lun Lee
KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 7 days ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...