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ADMA
2005
Springer
124views Data Mining» more  ADMA 2005»
13 years 10 months ago
Finding All Frequent Patterns Starting from the Closure
Efficient discovery of frequent patterns from large databases is an active research area in data mining with broad applications in industry and deep implications in many areas of d...
Mohammad El-Hajj, Osmar R. Zaïane
AIR
2000
91views more  AIR 2000»
13 years 8 months ago
PlanMine: Predicting Plan Failures Using Sequence Mining
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because p...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
CIT
2007
Springer
14 years 19 days ago
Mining Multiple Large Databases
: Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus,...
Animesh Adhikari, P. R. Rao, Jhimli Adhikari
JCS
2000
148views more  JCS 2000»
13 years 8 months ago
Using Sample Size to Limit Exposure to Data Mining
Data mining introduces new problems in database security. The basic problem of using non-sensitive data to infer sensitive data is made more difficult by the "prob abilistic&...
Chris Clifton
IADIS
2003
13 years 10 months ago
Capturing Best Practices in Web Development
This paper describes capturing design experiences by applying grounded theory to pattern mining. The presented approach aims at inducing expert development knowledge and its subse...
Tanya Linden, Jacob L. Cybulski