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» A General Divide and Conquer Approach for Process Mining
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93
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IJCNN
2008
IEEE
15 years 5 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...
107
Voted
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
14 years 9 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 3 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
91
Voted
IJIS
2007
97views more  IJIS 2007»
14 years 11 months ago
Attribute-oriented fuzzy generalization in proximity- and similarity-based relational database systems
article we investigate an attribute-oriented induction approach for acquisition of abstract knowledge from data stored in a fuzzy database environment. We utilize a proximity-based...
Rafal A. Angryk, Frederick E. Petry
SAC
2006
ACM
15 years 5 months ago
Approaches to text mining for clinical medical records
Clinical medical records contain a wealth of information, largely in free-text form. Means to extract structured information from free-text records is an important research endeav...
Xiaohua Zhou, Hyoil Han, Isaac Chankai, Ann Prestr...