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» Knowledge discovery from sensor data (SensorKDD)
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AI
2002
Springer
14 years 9 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 9 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 ...
CGF
2008
126views more  CGF 2008»
14 years 9 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 9 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
VLDB
2004
ACM
100views Database» more  VLDB 2004»
15 years 3 months ago
Resilient Rights Protection for Sensor Streams
Today’s world of increasingly dynamic computing environments naturally results in more and more data being available as fast streams. Applications such as stock market analysis,...
Radu Sion, Mikhail J. Atallah, Sunil Prabhakar