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» Using Data Mining for Wine Quality Assessment
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159
Voted
WSDM
2010
ACM
213views Data Mining» more  WSDM 2010»
16 years 1 months ago
Corroborating Information from Disagreeing Views
We consider a set of views stating possibly conflicting facts. Negative facts in the views may come, e.g., from functional dependencies in the underlying database schema. We want ...
Alban Galland, Serge Abiteboul, Amélie Mari...
111
Voted
CIT
2007
Springer
15 years 7 months ago
Mining Multiple Large Databases
: Effective data analysis using multiple databases requires highly accurate patterns. Local pattern analysis might extract low quality patterns from multiple large databases. Thus,...
Animesh Adhikari, P. R. Rao, Jhimli Adhikari
136
Voted
VLDB
2005
ACM
196views Database» more  VLDB 2005»
15 years 9 months ago
Summarizing and Mining Inverse Distributions on Data Streams via Dynamic Inverse Sampling
Emerging data stream management systems approach the challenge of massive data distributions which arrive at high speeds while there is only small storage by summarizing and minin...
Graham Cormode, S. Muthukrishnan, Irina Rozenbaum
142
Voted
RSCTC
2000
Springer
185views Fuzzy Logic» more  RSCTC 2000»
15 years 7 months ago
A Comparison of Several Approaches to Missing Attribute Values in Data Mining
: In the paper nine different approaches to missing attribute values are presented and compared. Ten input data files were used to investigate the performance of the nine methods t...
Jerzy W. Grzymala-Busse, Ming Hu
149
Voted
INCDM
2010
Springer
204views Data Mining» more  INCDM 2010»
15 years 7 months ago
Combining Business Process and Data Discovery Techniques for Analyzing and Improving Integrated Care Pathways
Hospitals increasingly use process models for structuring their care processes. Activities performed to patients are logged to a database but these data are rarely used for managin...
Jonas Poelmans, Guido Dedene, Gerda Verheyden, Her...