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ACSC
2002
IEEE
16 years 2 days ago
Using Finite State Automata for Sequence Mining
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...
Philip Hingston
SIGMOD
1998
ACM
93views Database» more  SIGMOD 1998»
15 years 11 months ago
Efficiently Mining Long Patterns from Databases
We present a pattern-mining algorithm that scales roughly linearly in the number of maximal patterns embedded in a database irrespective of the length of the longest pattern. In c...
Roberto J. Bayardo Jr.
BMCBI
2007
166views more  BMCBI 2007»
15 years 7 months ago
PathFinder: mining signal transduction pathway segments from protein-protein interaction networks
Background: A Signal transduction pathway is the chain of processes by which a cell converts an extracellular signal into a response. In most unicellular organisms, the number of ...
Gürkan Bebek, Jiong Yang
BMCBI
2007
176views more  BMCBI 2007»
15 years 7 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
ALMOB
2006
102views more  ALMOB 2006»
15 years 7 months ago
Mining, compressing and classifying with extensible motifs
Background: Motif patterns of maximal saturation emerged originally in contexts of pattern discovery in biomolecular sequences and have recently proven a valuable notion also in t...
Alberto Apostolico, Matteo Comin, Laxmi Parida