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» Using Data Mining in MURA Graphic Problems
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ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
15 years 10 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov
KDD
2009
ACM
249views Data Mining» more  KDD 2009»
16 years 4 months ago
Drosophila gene expression pattern annotation using sparse features and term-term interactions
The Drosophila gene expression pattern images document the spatial and temporal dynamics of gene expression and they are valuable tools for explicating the gene functions, interac...
Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, ...
IDA
2000
Springer
15 years 3 months ago
Reducing redundancy in characteristic rule discovery by using integer programming techniques
The discovery of characteristic rules is a well-known data mining task and has lead to several successful applications. However, because of the descriptive nature of characteristic...
Tom Brijs, Koen Vanhoof, Geert Wets
CINQ
2004
Springer
157views Database» more  CINQ 2004»
15 years 7 months ago
Inductive Databases and Multiple Uses of Frequent Itemsets: The cInQ Approach
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
Jean-François Boulicaut
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 4 months ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler