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» Classes and clusters in data analysis
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ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
15 years 10 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
VLDB
1998
ACM
105views Database» more  VLDB 1998»
15 years 8 months ago
Computing Iceberg Queries Efficiently
Many applications compute aggregate functions over an attribute (or set of attributes) to find aggregate values above some specified threshold. We call such queries iceberg querie...
Min Fang, Narayanan Shivakumar, Hector Garcia-Moli...
ICDCS
2010
IEEE
15 years 6 months ago
CacheCast: Eliminating Redundant Link Traffic for Single Source Multiple Destination Transfers
Due to the lack of multicast services in the Internet, applications based on single source multiple destinations transfers such as video conferencing, IP radio, IPTV must use unica...
Piotr Srebrny, Thomas Plagemann, Vera Goebel, Andr...
TVCG
2012
185views Hardware» more  TVCG 2012»
13 years 6 months ago
Interest Driven Navigation in Visualization
—This paper describes a new method to explore and discover within a large data set. We apply techniques from preference elicitation to automatically identify data elements that a...
Christopher G. Healey, Brent M. Dennis
BMCBI
2006
127views more  BMCBI 2006»
15 years 4 months ago
Using local gene expression similarities to discover regulatory binding site modules
Background: We present an approach designed to identify gene regulation patterns using sequence and expression data collected for Saccharomyces cerevisae. Our main goal is to rela...
Bartek Wilczynski, Torgeir R. Hvidsten, Andriy Kry...