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JIIS
2010
106views more  JIIS 2010»
13 years 2 months ago
A new classification of datasets for frequent itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to ...
Frédéric Flouvat, Fabien De Marchi, ...
ICCS
2003
Springer
14 years 18 days ago
A Compress-Based Association Mining Algorithm for Large Dataset
The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
ICST
2009
IEEE
14 years 2 months ago
Seasonal Variation in the Vulnerability Discovery Process
Vulnerability discovery rates need to be taken into account for evaluating security risks. Accurate projection of these rates is required to estimate the effort needed to develop ...
HyunChul Joh, Yashwant K. Malaiya
ISMB
1996
13 years 8 months ago
The Megaprior Heuristic for Discovering Protein Sequence Patterns
Several computeralgorithms for discovering patterns in groups of protein sequences are in use that are basedon fitting the parametersof a statistical model to a group of related s...
Timothy L. Bailey, Michael Gribskov
BMCBI
2007
139views more  BMCBI 2007»
13 years 7 months ago
XSTREAM: A practical algorithm for identification and architecture modeling of tandem repeats in protein sequences
Background: Biological sequence repeats arranged in tandem patterns are widespread in DNA and proteins. While many software tools have been designed to detect DNA tandem repeats (...
Aaron M. Newman, James B. Cooper