Multidimensional Visualization

Research output: Book/ReportReportProfessional

Abstract

Visualization is a powerful tool for data mining. During the last 30 years, multi-dimensional visualization methods and techniques have been developed in order to conduct data mining (Visual Data Mining) or to efficiently present and evaluate the results of a data mining query. The purpose of this review is to list and shortly describe such methods and give some examples of multidimensional visualization so that the tool designers and data mining analysts can get an overview of the existent possibilities. The methods described are divided into six groups: Geometric techniques where the methods described are based on the Cartesian coordinates; Icon techniques where the main tool and basic unit of the visualization technique is an icon; Pixel Oriented techniques where the pixels are used as the basic visualization unit; Hierarchical techniques where the data items and the query results are presented in hierarchical displays; Distortion techniques where the three-dimensional space is distorted to allow more information to be visualized; and Graph Based techniques where the information is presented using nodes and edges. Examples of visualization tools give a more complete image of the application of these methods.
Original languageEnglish
Place of PublicationEspoo
PublisherVTT Technical Research Centre of Finland
Number of pages39
ISBN (Electronic)951-38-5921-5
ISBN (Print)951-38-5920-7
Publication statusPublished - 2001
MoE publication typeNot Eligible

Publication series

NameVTT Tiedotteita - Meddelanden - Research Notes
PublisherVTT
No.2114
ISSN (Print)1235-0605
ISSN (Electronic)1455-0865

Fingerprint

Visualization
Data mining
Pixels
Display devices

Keywords

  • data mining
  • visualization tools
  • visualization techniques

Cite this

Sachinopoulou, A. (2001). Multidimensional Visualization. Espoo: VTT Technical Research Centre of Finland. VTT Tiedotteita - Meddelanden - Research Notes, No. 2114
Sachinopoulou, Anna. / Multidimensional Visualization. Espoo : VTT Technical Research Centre of Finland, 2001. 39 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2114).
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Sachinopoulou, A 2001, Multidimensional Visualization. VTT Tiedotteita - Meddelanden - Research Notes, no. 2114, VTT Technical Research Centre of Finland, Espoo.

Multidimensional Visualization. / Sachinopoulou, Anna.

Espoo : VTT Technical Research Centre of Finland, 2001. 39 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2114).

Research output: Book/ReportReportProfessional

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AB - Visualization is a powerful tool for data mining. During the last 30 years, multi-dimensional visualization methods and techniques have been developed in order to conduct data mining (Visual Data Mining) or to efficiently present and evaluate the results of a data mining query. The purpose of this review is to list and shortly describe such methods and give some examples of multidimensional visualization so that the tool designers and data mining analysts can get an overview of the existent possibilities. The methods described are divided into six groups: Geometric techniques where the methods described are based on the Cartesian coordinates; Icon techniques where the main tool and basic unit of the visualization technique is an icon; Pixel Oriented techniques where the pixels are used as the basic visualization unit; Hierarchical techniques where the data items and the query results are presented in hierarchical displays; Distortion techniques where the three-dimensional space is distorted to allow more information to be visualized; and Graph Based techniques where the information is presented using nodes and edges. Examples of visualization tools give a more complete image of the application of these methods.

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Sachinopoulou A. Multidimensional Visualization. Espoo: VTT Technical Research Centre of Finland, 2001. 39 p. (VTT Tiedotteita - Meddelanden - Research Notes; No. 2114).