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» Mining Quantitative Associations in Large Database
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KDD
2004
ACM
139views Data Mining» more  KDD 2004»
14 years 10 months ago
Learning a complex metabolomic dataset using random forests and support vector machines
Metabolomics is the omics science of biochemistry. The associated data include the quantitative measurements of all small molecule metabolites in a biological sample. These datase...
Young Truong, Xiaodong Lin, Chris Beecher
SIGMOD
2004
ACM
88views Database» more  SIGMOD 2004»
14 years 10 months ago
Using Reasoning to Guide Annotation with Gene Ontology Terms in GOAT
High-quality annotation of biological data is central to bioinformatics. Annotation using terms from ontologies provides reliable computational access to data. The Gene Ontology (...
Michael Bada, Daniele Turi, Robin McEntire, Robert...
WWW
2009
ACM
14 years 10 months ago
Rated aspect summarization of short comments
Web 2.0 technologies have enabled more and more people to freely comment on different kinds of entities (e.g. sellers, products, services). The large scale of information poses th...
Yue Lu, ChengXiang Zhai, Neel Sundaresan
KDD
2012
ACM
271views Data Mining» more  KDD 2012»
12 years 9 days ago
GigaTensor: scaling tensor analysis up by 100 times - algorithms and discoveries
Many data are modeled as tensors, or multi dimensional arrays. Examples include the predicates (subject, verb, object) in knowledge bases, hyperlinks and anchor texts in the Web g...
U. Kang, Evangelos E. Papalexakis, Abhay Harpale, ...
KDD
2006
ACM
130views Data Mining» more  KDD 2006»
14 years 10 months ago
Efficient anonymity-preserving data collection
The output of a data mining algorithm is only as good as its inputs, and individuals are often unwilling to provide accurate data about sensitive topics such as medical history an...
Justin Brickell, Vitaly Shmatikov