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» Using Data Mining in MURA Graphic Problems
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ICDM
2007
IEEE
159views Data Mining» more  ICDM 2007»
15 years 8 months ago
Spectral Regression: A Unified Approach for Sparse Subspace Learning
Recently the problem of dimensionality reduction (or, subspace learning) has received a lot of interests in many fields of information processing, including data mining, informati...
Deng Cai, Xiaofei He, Jiawei Han
SDM
2008
SIAM
119views Data Mining» more  SDM 2008»
15 years 5 months ago
An Efficient Local Algorithm for Distributed Multivariate Regression in Peer-to-Peer Networks
This paper offers a local distributed algorithm for multivariate regression in large peer-to-peer environments. The algorithm is designed for distributed inferencing, data compact...
Kanishka Bhaduri, Hillol Kargupta
EDBT
2010
ACM
184views Database» more  EDBT 2010»
15 years 10 months ago
Aggregation of asynchronous electric power consumption time series knowing the integral
More and more data mining algorithms are applied to a large number of long time series issued by many distributed sensors. The consequence of the huge volume of data is that data ...
Raja Chiky, Laurent Decreusefond, Georges Hé...
SDM
2007
SIAM
169views Data Mining» more  SDM 2007»
15 years 5 months ago
Rank Aggregation for Similar Items
The problem of combining the ranked preferences of many experts is an old and surprisingly deep problem that has gained renewed importance in many machine learning, data mining, a...
D. Sculley
161
Voted
SDM
2012
SIAM
233views Data Mining» more  SDM 2012»
13 years 6 months ago
On Finding Joint Subspace Boolean Matrix Factorizations
Finding latent factors of the data using matrix factorizations is a tried-and-tested approach in data mining. But finding shared factors over multiple matrices is more novel prob...
Pauli Miettinen