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» Association Rules Discovery in Multivariate Time Series
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BMCBI
2008
115views more  BMCBI 2008»
13 years 8 months ago
PARPST: a PARallel algorithm to find peptide sequence tags
Background: Protein identification is one of the most challenging problems in proteomics. Tandem mass spectrometry provides an important tool to handle the protein identification ...
Sara Brunetti, Elena Lodi, Elisa Mori, Maria Stell...
ASIAMS
2007
IEEE
14 years 2 months ago
On Syntactic Composability and Model Reuse
Composability, the capability to select and assemble offthe-shelf model components in various combinations to satisfy user requirements, is an appealing approach in reducing the t...
Claudia Szabo, Yong Meng Teo
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
14 years 2 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...
FLAIRS
2007
13 years 11 months ago
Mining Sequences in Distributed Sensors Data for Energy Production
The desire to predict power generation at a given point in time is essential to power scheduling, energy trading, and availability modeling. The research conducted within is conce...
Mehmed M. Kantardzic, John Gant
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
14 years 2 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas