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

Title:

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

Creator:

Antoch , Jaromír

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:9443d98d-7682-4283-aaa4-386a0176de5f
uuid:9443d98d-7682-4283-aaa4-386a0176de5f

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

Type:

model:article and TEXT

Format:

bez média and svazek

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.

Language:

English

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Source:

Neural network world: international journal on neural and mass-parallel computing and information systems | 2005 Volume:15 | Number:4

Harvested from:

CDK

Metadata only:

false