Sciweavers

502 search results - page 33 / 101
» Knowledge discovery from data streams
Sort
View
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 1 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
AI
2002
Springer
14 years 10 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
BMCBI
2008
141views more  BMCBI 2008»
14 years 10 months ago
Ontology-guided data preparation for discovering genotype-phenotype relationships
Complexity of post-genomic data and multiplicity of mining strategies are two limits to Knowledge Discovery in Databases (KDD) in life sciences. Because they provide a semantic fr...
Adrien Coulet, Malika Smaïl-Tabbone, Pascale ...
84
Voted
CGF
2008
126views more  CGF 2008»
14 years 10 months ago
From Web Data to Visualization via Ontology Mapping
In this paper, we propose a novel approach for automatic generation of visualizations from domain-specific data available on the web. We describe a general system pipeline that co...
O. Gilson, N. Silva, Phil W. Grant, Min Chen
INFORMS
2007
123views more  INFORMS 2007»
14 years 10 months ago
Constructing Ensembles from Data Envelopment Analysis
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
Zhiqiang Zheng, Balaji Padmanabhan