Knowledge Discovery and Data Visualization: Theories and Perspectives

This article reviews the literature in the search for the theories and perspectives of knowledge discovery and data visualization. The literature review highlights the overview of knowledge discovery; Knowledge Discovery in Databases (KDD); Knowledge Discovery in Textual Databases (KDT); the overvie...

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Veröffentlicht in:International journal of organizational and collective intelligence 2017-07, Vol.7 (3), p.56-69
1. Verfasser: Kasemsap, Kijpokin
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description This article reviews the literature in the search for the theories and perspectives of knowledge discovery and data visualization. The literature review highlights the overview of knowledge discovery; Knowledge Discovery in Databases (KDD); Knowledge Discovery in Textual Databases (KDT); the overview of data visualization; the significant perspectives on data visualization; data visualization and big data; and data visualization and statistical literacy. Knowledge discovery is the process of searching for hidden knowledge in the massive amounts of data that individuals are technically capable of generating and storing. Data visualization is an easy way to convey concepts in a universal manner. Organizations, that utilize knowledge discovery and data visualization, are more likely to find both knowledge and information they need when they need them. The findings present valuable insights and further understanding of the way in which knowledge discovery and data visualization efforts should be focused.
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identifier ISSN: 1947-9344
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subjects Big Data
Business analytics
Business intelligence
Cloud computing
Conveying
Data mining
Data visualization
Financial analysis
Fuzzy sets
Intelligence
Knowledge discovery
Knowledge representation
Literacy
Literature reviews
Machine learning
Scientific visualization
Searching
Securities markets
Set theory
Visualization
Visualization (Computers)
Volatility
Web 2.0
title Knowledge Discovery and Data Visualization: Theories and Perspectives
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