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» A clustering method that uses lossy aggregation of data
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SIGMOD
1999
ACM
181views Database» more  SIGMOD 1999»
13 years 12 months ago
Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets
Computing multidimensional aggregates in high dimensions is a performance bottleneck for many OLAP applications. Obtaining the exact answer to an aggregation query can be prohibit...
Jeffrey Scott Vitter, Min Wang
SSDBM
2003
IEEE
95views Database» more  SSDBM 2003»
14 years 27 days ago
A Quad-Tree Based Multiresolution Approach for Two-dimensional Summary Data
In many application contexts, like statistical databases, scientific databases, query optimizers, OLAP, and so on, data are often summarized into synopses of aggregate values. Su...
Francesco Buccafurri, Filippo Furfaro, Domenico Sa...
CORR
2010
Springer
219views Education» more  CORR 2010»
13 years 7 months ago
Clustering high dimensional data using subspace and projected clustering algorithms
: Problem statement: Clustering has a number of techniques that have been developed in statistics, pattern recognition, data mining, and other fields. Subspace clustering enumerate...
Rahmat Widia Sembiring, Jasni Mohamad Zain, Abdull...
KDD
2010
ACM
304views Data Mining» more  KDD 2010»
13 years 6 months ago
Automatic malware categorization using cluster ensemble
Malware categorization is an important problem in malware analysis and has attracted a lot of attention of computer security researchers and anti-malware industry recently. Today...
Yanfang Ye, Tao Li, Yong Chen, Qingshan Jiang
CSDA
2008
128views more  CSDA 2008»
13 years 7 months ago
Assessing agreement of clustering methods with gene expression microarray data
In the rapidly evolving field of genomics, many clustering and classification methods have been developed and employed to explore patterns in gene expression data. Biologists face...
Xueli Liu, Sheng-Chien Lee, George Casella, Gary F...