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» On Integrating Data Mining into Business Processes
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HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
15 years 7 months ago
An Efficient Algorithm for Real-Time Frequent Pattern Mining for Real-Time Business Intelligence Analytics
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of in...
Rajanish Dass, Ambuj Mahanti
BPM
2008
Springer
192views Business» more  BPM 2008»
15 years 3 months ago
Trace Clustering in Process Mining
Process mining has proven to be a valuable tool for analyzing operational process executions based on event logs. Existing techniques perform well on structured processes, but stil...
Minseok Song, Christian W. Günther, Wil M. P....
KDD
2002
ACM
138views Data Mining» more  KDD 2002»
16 years 2 months ago
Learning to match and cluster large high-dimensional data sets for data integration
Part of the process of data integration is determining which sets of identifiers refer to the same real-world entities. In integrating databases found on the Web or obtained by us...
William W. Cohen, Jacob Richman
BPM
2009
Springer
169views Business» more  BPM 2009»
15 years 8 months ago
Analyzing Resource Behavior Using Process Mining
It is vital to use accurate models for the analysis, design, and/or control of business processes. Unfortunately, there are often important discrepancies between reality and models...
Joyce Nakatumba, Wil M. P. van der Aalst
143
Voted
BPM
2009
Springer
161views Business» more  BPM 2009»
15 years 8 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...