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» A New Indexing Method for High Dimensional Dataset
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SDM
2009
SIAM
205views Data Mining» more  SDM 2009»
15 years 6 months ago
Identifying Information-Rich Subspace Trends in High-Dimensional Data.
Identifying information-rich subsets in high-dimensional spaces and representing them as order revealing patterns (or trends) is an important and challenging research problem in m...
Chandan K. Reddy, Snehal Pokharkar
ICML
2010
IEEE
14 years 10 months ago
Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets
A sparse representation of Support Vector Machines (SVMs) with respect to input features is desirable for many applications. In this paper, by introducing a 0-1 control variable t...
Mingkui Tan, Li Wang, Ivor W. Tsang
ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
15 years 2 months ago
Icon-based Visualization of Large High-Dimensional Datasets
High dimensional data visualization is critical to data analysts since it gives a direct view of original data. We present a method to visualize large amount of high dimensional d...
Ping Chen, Chenyi Hu, Wei Ding 0003, Heloise Lynn,...
ICDE
2008
IEEE
150views Database» more  ICDE 2008»
15 years 10 months ago
On the Anonymization of Sparse High-Dimensional Data
Abstract-- Existing research on privacy-preserving data publishing focuses on relational data: in this context, the objective is to enforce privacy-preserving paradigms, such as ka...
Gabriel Ghinita, Yufei Tao, Panos Kalnis
54
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JISE
2010
110views more  JISE 2010»
14 years 4 months ago
A Hierarchical Bitmap Indexing Method for Similarity Search in High-Dimensional Multimedia Databases
Jongho Nang, Joohyoun Park, Jihoon Yang, Saejoon K...