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KDD
2000
ACM
77views Data Mining» more  KDD 2000»
15 years 7 months ago
Small is beautiful: discovering the minimal set of unexpected patterns
A drawback of most traditional data mining methods is that they do not leverage prior knowledge of users. In many business settings, managers and analysts have significant intuiti...
Balaji Padmanabhan, Alexander Tuzhilin
KDD
2000
ACM
116views Data Mining» more  KDD 2000»
15 years 7 months ago
Learning Feature Weights from User Behavior in Content-Based Image Retrieval
Henning Müller, Wolfgang Müller 0002, Da...
KDD
2000
ACM
149views Data Mining» more  KDD 2000»
15 years 7 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
112
Voted
KDD
2000
ACM
118views Data Mining» more  KDD 2000»
15 years 7 months ago
Unsupervised Classification of Sound for Multimedia Indexing
Bruce Matichuk, Osmar R. Zaïane