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» Discovering and Processing Sequential Patterns in Databases
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KDD
2002
ACM
112views Data Mining» more  KDD 2002»
15 years 10 months ago
From run-time behavior to usage scenarios: an interaction-pattern mining approach
A key challenge facing IT organizations today is their evolution towards adopting e-business practices that gives rise to the need for reengineering their underlying software syst...
Mohammad El-Ramly, Eleni Stroulia, Paul G. Sorenso...
75
Voted
IEAAIE
2009
Springer
15 years 4 months ago
Incremental Mining of Ontological Association Rules in Evolving Environments
The process of knowledge discovery from databases is a knowledge intensive, highly user-oriented practice, thus has recently heralded the development of ontology-incorporated data ...
Ming-Cheng Tseng, Wen-Yang Lin
ICDE
2004
IEEE
115views Database» more  ICDE 2004»
15 years 11 months ago
Unordered Tree Mining with Applications to Phylogeny
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
Dennis Shasha, Jason Tsong-Li Wang, Sen Zhang
BMCBI
2008
130views more  BMCBI 2008»
14 years 9 months ago
A database of phylogenetically atypical genes in archaeal and bacterial genomes, identified using the DarkHorse algorithm
Background: The process of horizontal gene transfer (HGT) is believed to be widespread in Bacteria and Archaea, but little comparative data is available addressing its occurrence ...
Sheila Podell, Terry Gaasterland, Eric E. Allen
IJISTA
2008
95views more  IJISTA 2008»
14 years 9 months ago
Mining manufacturing data using genetic algorithm-based feature set decomposition
Data mining methods can be used for discovering interesting patterns in manufacturing databases. These patterns can be used to improve manufacturing processes. However, data accum...
Lior Rokach