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KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 2 months ago
Coincidence Detection: A Fast Method for Discovering Higher-Order Correlations in Multidimensional Data
Wepresent a novel, fast methodfor associationminingill high-dimensionaldatasets. OurCoincidence Detection method, which combines random sampling and Chernoff-Hoeffding bounds with...
Evan W. Steeg, Derek A. Robinson, Ed Willis
86
Voted
BMCBI
2006
106views more  BMCBI 2006»
14 years 10 months ago
Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional nor
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
Henrik Bengtsson, Ola Hössjer
88
Voted
SEBD
2004
139views Database» more  SEBD 2004»
14 years 11 months ago
A New Histogram-based Technique for Compressing Multi-Dimensional Data
Abstract. The need to compress data into synopses of summarized information often arises in many application scenarios, where the aim is to retrieve aggregate data efficiently, pos...
Filippo Furfaro, Giuseppe M. Mazzeo, Domenico Sacc...
DAWAK
2008
Springer
14 years 12 months ago
Mining Multidimensional Sequential Patterns over Data Streams
Sequential pattern mining is an active field in the domain of knowledge discovery and has been widely studied for over a decade by data mining researchers. More and more, with the ...
Chedy Raïssi, Marc Plantevit
VLDB
2000
ACM
110views Database» more  VLDB 2000»
15 years 1 months ago
User-Adaptive Exploration of Multidimensional Data
In this paper we present a tool for enhanced exploration of OLAP data that is adaptive to a user's prior knowledge of the data. The tool continuously keeps track of the parts...
Sunita Sarawagi