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ICDM
2010
IEEE
125views Data Mining» more  ICDM 2010»
13 years 7 months ago
Topic Modeling Ensembles
: Topic Modeling Ensembles Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen HP Laboratories HPL-2010-158 Topic model, Ensemble In this paper we propose a framework of topic model...
Zhiyong Shen, Ping Luo, Shengwen Yang, Xukun Shen
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
14 years 10 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
PKDD
2004
Springer
116views Data Mining» more  PKDD 2004»
14 years 3 months ago
Random Matrices in Data Analysis
We show how carefully crafted random matrices can achieve distance-preserving dimensionality reduction, accelerate spectral computations, and reduce the sample complexity of certai...
Dimitris Achlioptas
PRL
2002
67views more  PRL 2002»
13 years 9 months ago
A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets
Missing data handling is an important preparation step for most data discrimination or mining tasks. Inappropriate treatment of missing data may cause large errors or false result...
Xiaolu Huang, Qiuming Zhu
ICDM
2009
IEEE
113views Data Mining» more  ICDM 2009»
14 years 4 months ago
Spatiotemporal Relational Random Forests
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
Timothy A. Supinie, Amy McGovern, John Williams, J...