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» Techniques of Cluster Algorithms in Data Mining
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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...
ICDM
2005
IEEE
215views Data Mining» more  ICDM 2005»
15 years 7 months ago
CLUGO: A Clustering Algorithm for Automated Functional Annotations Based on Gene Ontology
We address the issue of providing highly informative and comprehensive annotations using information revealed by the structured vocabularies of Gene Ontology (GO). For a target, a...
In-Yee Lee, Jan-Ming Ho, Ming-Syan Chen
120
Voted
PODS
2001
ACM
148views Database» more  PODS 2001»
16 years 2 months ago
On the Design and Quantification of Privacy Preserving Data Mining Algorithms
The increasing ability to track and collect large amounts of data with the use of current hardware technology has lead to an interest in the development of data mining algorithms ...
Dakshi Agrawal, Charu C. Aggarwal
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....
109
Voted
KDD
2009
ACM
182views Data Mining» more  KDD 2009»
16 years 2 months ago
Scalable graph clustering using stochastic flows: applications to community discovery
Algorithms based on simulating stochastic flows are a simple and natural solution for the problem of clustering graphs, but their widespread use has been hampered by their lack of...
Venu Satuluri, Srinivasan Parthasarathy