185 search results - page 29 / 37 » Probing Knowledge in Distributed Data Mining |
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summariz...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a population with high generality and distributional unusualness. While several subgroup discove...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
ICDE
1999
IEEE
14 years 9 months ago
1999
IEEE
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text cor...