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KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 7 months ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
16 years 6 months ago
Estimating the confidence of conditional functional dependencies
Conditional functional dependencies (CFDs) have recently been proposed as extensions of classical functional dependencies that apply to a certain subset of the relation, as specif...
Graham Cormode, Lukasz Golab, Flip Korn, Andrew Mc...
EDBT
2009
ACM
184views Database» more  EDBT 2009»
16 years 1 months ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer
KDD
2009
ACM
196views Data Mining» more  KDD 2009»
16 years 1 months ago
WhereNext: a location predictor on trajectory pattern mining
The pervasiveness of mobile devices and location based services is leading to an increasing volume of mobility data. This side effect provides the opportunity for innovative meth...
Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fo...
GLOBECOM
2009
IEEE
16 years 1 months ago
Maximum-Likelihood Sequence Detector for Dynamic Mode High Density Probe Storage
— There is an ever increasing need for storing data in smaller and smaller form factors driven by the ubiquitous use and increased demands of consumer electronics. A new approach...
Naveen Kumar, Pranav Agarwal, Aditya Ramamoorthy, ...
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