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» Divide-and-Conquer Strategies for Process Mining
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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
ICMLA
2008
13 years 6 months ago
Distributed Optimization Strategies for Mining on Peer-to-Peer Networks
Peer-to-peer (P2P) networks are distributed systems in which nodes of equal roles and capabilities exchange information and services directly with each other. In recent years, the...
Haimonti Dutta, Ananda Matthur
DSS
2007
89views more  DSS 2007»
13 years 4 months ago
MSMiner - a developing platform for OLAP
Since the early 1970s, decision support systems (DSS) have evolved significantly. In this paper, the design and implementation of MSMiner, a developing platform for DSS, is introd...
Zhongzhi Shi, Youping Huang, Qing He, Li Da Xu, Sh...
KER
2006
107views more  KER 2006»
13 years 4 months ago
Partitioning strategies for distributed association rule mining
In this paper a number of alternative strategies for distributed/parallel association rule mining are investigated. The methods examined make use of a data structure, the T-tree, ...
Frans Coenen, Paul H. Leng
CE
2005
91views more  CE 2005»
13 years 4 months ago
Using data mining as a strategy for assessing asynchronous discussion forums
The purpose of this paper is to show how data mining may offer promise as a strategy for discovering and building alternative representations for the data underlying asynchronous ...
Laurie P. Dringus, Timothy Ellis