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» Forecasting high-dimensional data
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SIGMOD
2001
ACM
104views Database» more  SIGMOD 2001»
15 years 9 months ago
Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data
Approximating the joint data distribution of a multi-dimensional data set through a compact and accurate histogram synopsis is a fundamental problem arising in numerous practical ...
Amol Deshpande, Minos N. Garofalakis, Rajeev Rasto...
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
IV
2007
IEEE
160views Visualization» more  IV 2007»
15 years 3 months ago
Targeted Projection Pursuit for Interactive Exploration of High- Dimensional Data Sets
High-dimensional data is, by its nature, difficult to visualise. Many current techniques involve reducing the dimensionality of the data, which results in a loss of information. ...
Joe Faith
DMIN
2008
152views Data Mining» more  DMIN 2008»
14 years 11 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
DAWAK
2005
Springer
15 years 3 months ago
Nearest Neighbor Search on Vertically Partitioned High-Dimensional Data
Abstract. In this paper, we present a new approach to indexing multidimensional data that is particularly suitable for the efficient incremental processing of nearest neighbor quer...
Evangelos Dellis, Bernhard Seeger, Akrivi Vlachou