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» Scalable sequential pattern mining for biological sequences
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ROCAI
2004
Springer
14 years 27 days ago
Learning Mixtures of Localized Rules by Maximizing the Area Under the ROC Curve
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Tobias Sing, Niko Beerenwinkel, Thomas Lengauer
IDA
2009
Springer
13 years 5 months ago
Mining the Temporal Dimension of the Information Propagation
In the last decade, Social Network Analysis has been a field in which the effort devoted from several researchers in the Data Mining area has increased very fast. Among the possibl...
Michele Berlingerio, Michele Coscia, Fosca Giannot...
SDM
2011
SIAM
223views Data Mining» more  SDM 2011»
12 years 10 months ago
Characterizing Uncertain Data using Compression
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukko...
BMCBI
2007
103views more  BMCBI 2007»
13 years 7 months ago
eQTL Viewer: visualizing how sequence variation affects genome-wide transcription
Background: Expression Quantitative Trait Locus (eQTL) mapping methods have been used to identify the genetic basis of gene expression variations. To map eQTL, thousands of expres...
Wei Zou, David L. Aylor, Zhao-Bang Zeng
ECML
2007
Springer
13 years 11 months ago
Finding Composite Episodes
Mining frequent patterns is a major topic in data mining research, resulting in many seminal papers and algorithms on item set and episode discovery. The combination of these, call...
Ronnie Bathoorn, Arno Siebes