Information Visualization: Which Is the Most Appropriate Technique to Represent Data Mining Results?

2008 ◽  
Author(s):  
Emerson Rabelo ◽  
Maria Dias ◽  
Clélia Franco ◽  
Roberto C. S. Pacheco
Keyword(s):  
Data Mining ◽  
Information Visualization

scholarly journals VisMade: Visualizing Temporal Information in Databases Structured as Master-Details

2009 ◽  
Vol 6 (2) ◽  
Author(s):  
Edécio Fernando Iepsen ◽  
Paulo Roberto Gomes Luzzardi ◽  
Stanley Loh
Keyword(s):  
Data Mining ◽  
Computer Graphics ◽  
Information Visualization ◽  
Visual Data Mining ◽  
Parallel Coordinates ◽  
Amount Of Information ◽  
New Information ◽  
Present Information ◽  
The Web

Information Visualization is a field of computer graphics which aims to present information graphically, allowing users to better understand a great amount of information. It also allows identifying standards, or even detecting new information which, at first, was not possible to be perceived due to its complex representation. This study briefly describes this field and presents a tool for visual data mining executed on the web, through of the Parallel Coordinates technique, that allow users to analyze information structured in a master/detail format. Other advantage of the tool is its capacity of accepting data from several systems exported by the user in the XML format. A case study is demonstrated in order to exemplify the resources of the tool.

A Digital Mixed Methods Research Design: Integrating Multimodal Analysis With Data Mining and Information Visualization for Big Data Analytics

2016 ◽  
Vol 12 (1) ◽  
pp. 11-30 ◽  
Author(s):  
Kay L. O’Halloran ◽  
Sabine Tan ◽  
Duc-Son Pham ◽  
John Bateman ◽  
Andrew Vande Moere
Keyword(s):  
Data Mining ◽  
Mixed Methods ◽  
Information Visualization ◽  
Mixed Methods Research ◽  
Information Needs ◽  
Quantitative Methods ◽  
Big Data Analytics ◽  
Large Data ◽  
Crisis Informatics ◽  
Public Data

This article demonstrates how a digital environment offers new opportunities for transforming qualitative data into quantitative data in order to use data mining and information visualization for mixed methods research. The digital approach to mixed methods research is illustrated by a framework which combines qualitative methods of multimodal discourse analysis with quantitative methods of data mining and information visualization in a multilevel, contextual model that will result in an integrated, theoretically well-founded, and empirically evaluated technology for analyzing large data sets of multimodal texts. The framework is applicable to situations in which critical information needs to be extracted from geotagged public data: for example, in crisis informatics, where public reports of extreme events provide valuable data sources for disaster management.

Sign in / Sign up

Export Citation Format

Share Document