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» Forecasting high-dimensional data
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SIAMSC
2008
159views more  SIAMSC 2008»
13 years 10 months ago
Hierarchical Clustering of Massive, High Dimensional Data Sets by Exploiting Ultrametric Embedding
Coding of data, usually upstream of data analysis, has crucial implications for the data analysis results. By modifying the data coding
Fionn Murtagh, Geoff Downs, Pedro Contreras
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
15 years 7 days ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
14 years 5 months ago
On High Dimensional Projected Clustering of Uncertain Data Streams
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
Charu C. Aggarwal
CIKM
2000
Springer
14 years 3 months ago
Vector Approximation based Indexing for Non-uniform High Dimensional Data Sets
With the proliferation of multimedia data, there is increasing need to support the indexing and searching of high dimensional data. Recently, a vector approximation based techniqu...
Hakan Ferhatosmanoglu, Ertem Tuncel, Divyakant Agr...
ICDE
2002
IEEE
91views Database» more  ICDE 2002»
14 years 3 months ago
Lossy Reduction for Very High Dimensional Data
We consider the use of data reduction techniques for the problem of approximate query answering. We focus on applications for which accurate answers to selective queries are requi...
Chris Jermaine, Edward Omiecinski