Sciweavers

247 search results - page 2 / 50
» Business Process Understanding: Mining Many Datasets
Sort
View
ICDM
2010
IEEE
96views Data Mining» more  ICDM 2010»
13 years 2 months ago
Domain-Driven Data Mining for IT Infrastructure Support
Abstract--Support analytics (i.e., statistical analysis, modeling and mining of customer/operations support tickets data) is important in service industries. In this paper, we adop...
Girish Keshav Palshikar, Harrick M. Vin, Mohammed ...
BPM
2008
Springer
142views Business» more  BPM 2008»
13 years 6 months ago
Crosscutting Concern Documentation by Visual Query of Business Processes
Business processes can be very large and may contain several different concerns, scattered across the process and tangled with other concerns. Crosscutting concerns are difficult t...
Chiara Di Francescomarino, Paolo Tonella
MASS
2010
157views Communications» more  MASS 2010»
13 years 2 months ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl
BPM
2009
Springer
175views Business» more  BPM 2009»
13 years 11 months ago
Understanding Spaghetti Models with Sequence Clustering for ProM
The goal of process mining is to discover process models from event logs. However, for processes that are not well structured and have a lot of diverse behavior, existing process m...
Gabriel M. Veiga, Diogo R. Ferreira
ICDE
2006
IEEE
124views Database» more  ICDE 2006»
13 years 11 months ago
Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases
It has been well recognized that data mining is an interactive and iterative process. In order to support this process, one of the long-term goals of data mining research has been...
Ruoming Jin, Gagan Agrawal