Sciweavers

247 search results - page 1 / 50
» Business Process Understanding: Mining Many Datasets
Sort
View
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
13 years 8 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
VLDB
2001
ACM
100views Database» more  VLDB 2001»
13 years 9 months ago
Improving Business Process Quality through Exception Understanding, Prediction, and Prevention
Business process automation technologies are being increasingly used by many companies to improve the efficiency of both internal processes as well as of e-services offered to cus...
Daniela Grigori, Fabio Casati, Umeshwar Dayal, Min...
HICSS
2006
IEEE
138views Biometrics» more  HICSS 2006»
13 years 10 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
2009
Springer
195views Business» more  BPM 2009»
13 years 11 months ago
Process Mining: Fuzzy Clustering and Performance Visualization
The goal of performance analysis of business processes is to gain insights into operational processes, for the purpose of optimizing them. To intuitively show which parts of the pr...
Boudewijn F. van Dongen, A. Adriansyah
GECCO
2008
Springer
115views Optimization» more  GECCO 2008»
13 years 5 months ago
A genetic programming approach to business process mining
The aim of process mining is to identify and extract process patterns from data logs to reconstruct an overall process flowchart. As business processes become more and more comple...
Chris J. Turner, Ashutosh Tiwari, Jörn Mehnen