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BPM
2009
Springer
116views Business» more  BPM 2009»
13 years 11 months ago
Discovering Reference Models by Mining Process Variants Using a Heuristic Approach
Abstract. Recently, a new generation of adaptive Process-Aware Information Systems (PAISs) has emerged, which enables structural process changes during runtime. Such flexibility, ...
Chen Li, Manfred Reichert, Andreas Wombacher
ICWS
2008
IEEE
13 years 6 months ago
Discovering Reference Process Models by Mining Process Variants
Recently, a new generation of adaptive Process-Aware Information Systems (PAIS) has emerged, which allows for dynamic process and service changes (e.g., to insert, delete, and mov...
Chen Li, Manfred Reichert, Andreas Wombacher
ICDE
2006
IEEE
133views Database» more  ICDE 2006»
13 years 10 months ago
A New Approach for Reactive Web Usage Data Processing
— Web usage mining exploits data mining techniques to discover valuable information from navigation behavior of World Wide Web (WWW) users. The required information is captured b...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar
BNCOD
2003
127views Database» more  BNCOD 2003»
13 years 6 months ago
Performance Evaluation and Analysis of K-Way Join Variants for Association Rule Mining
Data mining aims at discovering important and previously unknown patterns from the dataset in the underlying database. Database mining performs mining directly on data stored in r...
P. Mishra, Sharma Chakravarthy
BPM
2009
Springer
161views Business» more  BPM 2009»
13 years 11 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
Process mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms ...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...