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RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
13 years 9 months ago
Business Process Understanding: Mining Many Datasets
Abstract. Institutional databases can be instrumental in understanding a business process, but additional data may broaden the empirical perspective on the investigated process. We...
Jan M. Zytkow, Arun P. Sanjeev
MKWI
2008
150views Business» more  MKWI 2008»
13 years 6 months ago
A Reference Model for Seamless Cross-Organizational Collaboration in the Public Sector
: Today, electronic cross-company collaboration is about to gain significant momentum, but still shows weaknesses with respect to productivity, flexibility and quality: A lack of s...
Christoph Schroth
CIKM
2008
Springer
13 years 7 months ago
Mapping enterprise entities to text segments
Today, valuable business information is increasingly stored as unstructured data (documents, emails, etc.). For example, documents exchanged between business partners capture info...
Falk Brauer, Alexander Löser, Hong-Hai Do
LREC
2008
74views Education» more  LREC 2008»
13 years 6 months ago
Tapping Huge Temporally Indexed Textual Resources with WCTAnalyze
WCTAnalyze is a tool for storing, accessing and visually analyzing huge collections of temporally indexed data. It is motivated by applications in media analysis, business intelli...
Sebastian Gottwald, Matthias Richter, Gerhard Heye...
BPM
2009
Springer
161views Business» more  BPM 2009»
13 years 12 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...