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JMLR
2010
130views more  JMLR 2010»
15 years 1 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
BMCBI
2008
160views more  BMCBI 2008»
15 years 6 months ago
A comparison of four clustering methods for brain expression microarray data
Background: DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they pr...
Alexander L. Richards, Peter Holmans, Michael C. O...
MSV
2004
15 years 7 months ago
MABAC - Matrix Based Clustering Algorithm
Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
Yonghui Chen, Alan P. Sprague, Kevin D. Reilly
NAR
2011
214views Computer Vision» more  NAR 2011»
14 years 9 months ago
starBase: a database for exploring microRNA-mRNA interaction maps from Argonaute CLIP-Seq and Degradome-Seq data
MicroRNAs (miRNAs) represent an important class of small non-coding RNAs (sRNAs) that regulate gene expression by targeting messenger RNAs. However, assigning miRNAs to their regu...
Jian-Hua Yang, Jun-Hao Li, Peng Shao, Hui Zhou, Yu...
JAMIA
2011
68views more  JAMIA 2011»
14 years 9 months ago
A secure protocol for protecting the identity of providers when disclosing data for disease surveillance
Background Providers have been reluctant to disclose patient data for public-health purposes. Even if patient privacy is ensured, the desire to protect provider confidentiality h...
Khaled El Emam, Jun Hu, Jay Mercer, Liam Peyton, M...