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» Hierarchical exploration of large multivariate data sets
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CHI
1994
ACM
14 years 1 months ago
Using aggregation and dynamic queries for exploring large data sets
When working with large data sets, users perform three primary types of activities: data manipulation, data analysis, and data visualization. The data manipulation process involve...
Jade Goldstein, Steven F. Roth
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 10 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
INFOVIS
2003
IEEE
14 years 3 months ago
Interactive Hierarchical Dimension Ordering, Spacing and Filtering for Exploration of High Dimensional Datasets
Large numbers of dimensions not only cause clutter in multidimensional visualizations, but also make it difficult for users to navigate the data space. Effective dimension manage...
Jing Yang, Wei Peng, Matthew O. Ward, Elke A. Rund...
TMA
2010
Springer
206views Management» more  TMA 2010»
14 years 4 months ago
Collection and Exploration of Large Data Monitoring Sets Using Bitmap Databases
Collecting and exploring monitoring data is becoming increasingly challenging as networks become larger and faster. Solutions based on both SQL-databases and specialized binary for...
Luca Deri, Valeria Lorenzetti, Steve Mortimer
BMCBI
2008
159views more  BMCBI 2008»
13 years 10 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...