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» Data Quality Requirements Analysis and Modeling
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JISE
2008
77views more  JISE 2008»
15 years 14 days ago
Formalized Entity Extraction Methodology for Changeable Business Requirements
business requirement in the real world cannot be abstracted correctly into an entity-relationship schema. Once core entities are discovered, we can obtain an Entity-Relationship Di...
Namgyu Kim, Sangwon Lee, Songchun Moon
76
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BPM
2007
Springer
125views Business» more  BPM 2007»
15 years 6 months ago
What Makes Process Models Understandable?
Abstract. Despite that formal and informal quality aspects are of significant importance to business process modeling, there is only little empirical work reported on process mode...
Jan Mendling, Hajo A. Reijers, Jorge Cardoso
JBI
2006
107views Bioinformatics» more  JBI 2006»
15 years 14 days ago
Knowledge guided analysis of microarray data
To microarray expression data analysis, it is well accepted that biological knowledge-guided clustering techniques show more advantages than pure mathematical techniques. In this ...
Zhuo Fang, Jiong Yang, Yixue Li, Qing-ming Luo, Le...
KES
2005
Springer
15 years 6 months ago
Bayesian Validation of Fuzzy Clustering for Analysis of Yeast Cell Cycle Data
Clustering for the analysis of the gene expression profiles has been used for identifying the functions of the genes and of unknown genes. Since the genes usually belong to multipl...
Kyung-Joong Kim, Si-Ho Yoo, Sung-Bae Cho
96
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KDD
2000
ACM
142views Data Mining» more  KDD 2000»
15 years 4 months ago
Automating exploratory data analysis for efficient data mining
Having access to large data sets for the purpose of predictive data mining does not guarantee good models, even when the size of the training data is virtually unlimited. Instead,...
Jonathan D. Becher, Pavel Berkhin, Edmund Freeman