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» Context Aware Trace Clustering: Towards Improving Process Mi...
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SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
14 years 1 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
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...
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...
BPM
2008
Springer
192views Business» more  BPM 2008»
13 years 6 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....
USENIX
2008
13 years 6 months ago
Context-Aware Prefetching at the Storage Server
In many of today's applications, access to storage constitutes the major cost of processing a user request. Data prefetching has been used to alleviate the storage access lat...
Gokul Soundararajan, Madalin Mihailescu, Cristiana...
DEXA
2003
Springer
147views Database» more  DEXA 2003»
13 years 9 months ago
Context-Aware Data Mining Framework for Wireless Medical Application
Abstract. Data mining, which aims at extracting interesting information from large collections of data, has been widely used as an effective decision making tool. Mining the datas...
Pravin Vajirkar, Sachin Singh, Yugyung Lee