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» Numbers in Multi-relational Data Mining
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ICDM
2009
IEEE
205views Data Mining» more  ICDM 2009»
15 years 11 months ago
Active Selection of Sensor Sites in Remote Sensing Applications
— In a data-mining approach, a model for estimation of Aerosol Optical Depth (AOD) from satellite observations is learned using collocated satellite and groundbased observations....
Debasish Das, Zoran Obradovic, Slobodan Vucetic
136
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ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
15 years 10 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
158
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SDM
2007
SIAM
133views Data Mining» more  SDM 2007»
15 years 6 months ago
On Point Sampling Versus Space Sampling for Dimensionality Reduction
In recent years, random projection has been used as a valuable tool for performing dimensionality reduction of high dimensional data. Starting with the seminal work of Johnson and...
Charu C. Aggarwal
IPPS
2010
IEEE
15 years 3 months ago
Attack-resistant frequency counting
We present collaborative peer-to-peer algorithms for the problem of approximating frequency counts for popular items distributed across the peers of a large-scale network. Our alg...
Bo Wu, Jared Saia, Valerie King
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
16 years 5 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson