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» Scalability for Clustering Algorithms Revisited
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ICDE
2012
IEEE
227views Database» more  ICDE 2012»
11 years 8 months ago
Horizontal Reduction: Instance-Level Dimensionality Reduction for Similarity Search in Large Document Databases
—Dimensionality reduction is essential in text mining since the dimensionality of text documents could easily reach several tens of thousands. Most recent efforts on dimensionali...
Min-Soo Kim 0001, Kyu-Young Whang, Yang-Sae Moon
GIS
2008
ACM
14 years 7 months ago
Parallel ODETLAP for terrain compression and reconstruction
We introduce a parallel approximation of an Over-determined Laplacian Partial Differential Equation solver (ODETLAP) applied to the compression and restoration of terrain data use...
Jared Stookey, Zhongyi Xie, Barbara Cutler, W. Ran...
WWW
2005
ACM
14 years 7 months ago
Three-level caching for efficient query processing in large Web search engines
Large web search engines have to answer thousands of queries per second with interactive response times. Due to the sizes of the data sets involved, often in the range of multiple...
Xiaohui Long, Torsten Suel
KDD
2003
ACM
142views Data Mining» more  KDD 2003»
14 years 6 months ago
Mining phenotypes and informative genes from gene expression data
Mining microarray gene expression data is an important research topic in bioinformatics with broad applications. While most of the previous studies focus on clustering either gene...
Chun Tang, Aidong Zhang, Jian Pei
CIKM
1998
Springer
13 years 10 months ago
Supporting Fast Search in Time Series for Movement Patterns in Multiple Scales
An important investigation of time series involves searching for \movement" patterns, such as \going up" or \going down" or some combinations of them. Movement patt...
Yunyao Qu, Changzhou Wang, Xiaoyang Sean Wang