An interactive interface for multi-dimensional data stream analysis

Nuno C. Marques, Bruno Silva, Hugo Santos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


Data mining models are frequently used to represent and summarize meaningful properties in data. However such models are usually not suitable for interactive data exploration and visualization. This paper proposes the use of multidimensional projection together with the Ubiquitous Self-Organizing Map algorithm (UbiSOM), a novel variant of the well-known self-organizing map algorithm that was specifically tuned for stream data-mining. The resulting high-dimensional projection system is then studied for interactive data analysis and visualization. A prototype was developed where, at each moment, the user can visualize the information from different perspectives. Direct interaction with the system during stream processing is possible both by changing the projection, by optimizing the projection view for maximizing variance or by filtering the incoming data series. Experiments in two distinct datasets show the importance and relevance of conjoining multidimensional data projection with UbiSOM.

Original languageEnglish
Title of host publicationProceedings - 2016 20th International Conference Information Visualisation, IV 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781467389426
Publication statusPublished - 31 Aug 2016
Event20th International Conference Information Visualisation, IV 2016 - Lisbon, Portugal
Duration: 19 Jul 201622 Jul 2016

Publication series

NameIEEE International Conference on Information Visualization
ISSN (Electronic)1550-6037


Conference20th International Conference Information Visualisation, IV 2016


  • Big Data
  • Data Analysis
  • Data Streams
  • Interactive Data Mining
  • Multidimensional Data Projection
  • Self-Organizing Map


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