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107
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ISMB
1993
15 years 4 months ago
Grammatical Formalization of Metabolic Processes
In the field of biotechnologyand medicineit is of interest to modeland simulate metabolicprocesses. The usual methods to model metabolic pathwaysare chemicaldescriptions anddiffer...
Ralf Hofestädt
144
Voted
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
15 years 7 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
146
Voted
ICDM
2009
IEEE
181views Data Mining» more  ICDM 2009»
15 years 1 months ago
Efficient Discovery of Frequent Correlated Subgraph Pairs
The recent proliferation of graph data in a wide spectrum of applications has led to an increasing demand for advanced data analysis techniques. In view of this, many graph mining ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
131
Voted
BPM
2006
Springer
109views Business» more  BPM 2006»
15 years 7 months ago
A Generic Import Framework for Process Event Logs
Abstract. The application of process mining techniques to real-life corporate environments has been of an ad-hoc nature so far, focused on proving the concept. One major reason for...
Christian W. Günther, Wil M. P. van der Aalst
151
Voted
ESWA
2007
176views more  ESWA 2007»
15 years 3 months ago
Credit scoring with a data mining approach based on support vector machines
The credit card industry has been growing rapidly recently, and thus huge numbers of consumers’ credit data are collected by the credit department of the bank. The credit scorin...
Cheng-Lung Huang, Mu-Chen Chen, Chieh-Jen Wang