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» Data mining in the chemical industry
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KDD
2004
ACM
207views Data Mining» more  KDD 2004»
14 years 7 months ago
SPIN: mining maximal frequent subgraphs from graph databases
One fundamental challenge for mining recurring subgraphs from semi-structured data sets is the overwhelming abundance of such patterns. In large graph databases, the total number ...
Jun Huan, Wei Wang 0010, Jan Prins, Jiong Yang
IS
2007
13 years 7 months ago
Business process mining: An industrial application
Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover p...
Wil M. P. van der Aalst, Hajo A. Reijers, A. J. M....
IJCNN
2008
IEEE
14 years 1 months ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
CCE
2006
13 years 7 months ago
Real-time monitoring of an industrial batch process
This paper describes the development of a real-time monitoring system for a batch process operated by Aroma and Fine Chemicals Limited. The process shares many similarities with o...
Ognjen Marjanovic, Barry Lennox, David J. Sandoz, ...
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 7 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer