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DEXAW
2009
IEEE
131views Database» more  DEXAW 2009»
15 years 4 months ago
Clustering of Short Strings in Large Databases
—A novel method CLOSS intended for textual databases is proposed. It successfully identifies misspelled string clusters, even if the cluster border is not prominent. The method ...
Michail Kazimianec, Arturas Mazeika
BPM
2008
Springer
192views Business» more  BPM 2008»
14 years 11 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....
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 2 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...
ASUNAM
2009
IEEE
14 years 7 months ago
Social Network Analysis as Knowledge Discovery Process: A Case Study on Digital Bibliography
Abstract--Today Digital Bibliographies are a powerful instrument that collects a great amount of data about scientific publications. Digital Bibliographies have been used as basis ...
Michele Coscia, Fosca Giannotti, Ruggero G. Pensa
BPM
2009
Springer
258views Business» more  BPM 2009»
15 years 4 months ago
Activity Mining by Global Trace Segmentation
Process Mining is a technology for extracting non-trivial and useful information from execution logs. For example, there are many process mining techniques to automatically discove...
Christian W. Günther, Anne Rozinat, Wil M. P....