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182
Voted
DMKD
1997
ACM
15 years 7 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
149
Voted
WWW
2006
ACM
16 years 4 months ago
2006
ACM
Compared with traditional association rule mining in the structured world (e.g. Relational Databases), mining from XML data is confronted with more challenges due to the inherent ...
119
Voted
KDD
2000
ACM
15 years 7 months ago
2000
ACM
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,...
112
Voted
KDD
2005
ACM
15 years 9 months ago
2005
ACM
Clustering is an essential data mining task with numerous applications. However, data in most real-life applications are high-dimensional in nature, and the related information of...
132
Voted
ESWA
2006
15 years 3 months ago
2006
Proteomics is a field dedicated to the analysis and identification of proteins within an organism. Within proteomics, two-dimensional electrophoresis (2-DE) is currently unrivalle...