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KDD
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 8 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
KDD
2002
ACM
179views Data Mining» more  KDD 2002»
14 years 8 months ago
From Data To Insight: The Community Of Multimedia Agents
Multimedia Data Mining requires the ability to automatically analyze and understand the content. The Community of Multimedia Agents project (COMMA) is devoted to creating an open ...
Gang Wei, Valery A. Petrushin, Anatole Gershman
EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 7 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
14 years 4 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
EDBT
2009
ACM
222views Database» more  EDBT 2009»
14 years 2 months ago
Data clouds: summarizing keyword search results over structured data
Keyword searches are attractive because they facilitate users searching structured databases. On the other hand, tag clouds are popular for navigation and visualization purposes o...
Georgia Koutrika, Zahra Mohammadi Zadeh, Hector Ga...
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