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Start Over Subject multiple correspondence analysis

1. Visual data mining of large data sets using Vitamin-S system

Creator:
Antoch , Jaromír
Format:
bez média and svazek
Type:
model:article and TEXT
Subject:
Aggregate time series, Box-Jenkins' methodology, brushing classification, clustering, information visualization, knowledge discovery on databases (KDD), multiple correspondence analysis, principal component analysis, and visual data mining
Language:
English
Description:
Never before in history data has been generated at such high volumes as it is today. It is estimated that every year about 1 Exabyte (= 1 Million Terabyte) of data are generated, of which a large portion is available in digital form. Exploring and analyzing the vast volumes of data becomes increasingly difficult. This paper describes system Vitamin-S that aims to help when analyzing very large data sets.
Rights:
http://creativecommons.org/publicdomain/mark/1.0/ and policy:public