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» On the discovery of process models from their instances
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RECOMB
2004
Springer
14 years 7 months ago
Probabilistic discovery of overlapping cellular processes and their regulation
In this paper, we explore modeling overlapping biological processes. We discuss a probabilistic model of overlapping biological processes, gene membership in those processes, and ...
Alexis Battle, Eran Segal, Daphne Koller
BMCBI
2010
134views more  BMCBI 2010»
13 years 7 months ago
BayesMotif: de novo protein sorting motif discovery from impure datasets
Background: Protein sorting is the process that newly synthesized proteins are transported to their target locations within or outside of the cell. This process is precisely regul...
Jianjun Hu, Fan Zhang
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...
RSCTC
1998
Springer
175views Fuzzy Logic» more  RSCTC 1998»
13 years 11 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
ICDM
2009
IEEE
109views Data Mining» more  ICDM 2009»
14 years 2 months ago
Knowledge Discovery from Citation Networks
—Knowledge discovery from scientific articles has received increasing attentions recently since huge repositories are made available by the development of the Internet and digit...
Zhen Guo, Zhongfei Zhang, Shenghuo Zhu, Yun Chi, Y...