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Interactive Visualization of Association Rules Model Using SOM

Published: 10 September 2014 Publication History

Abstract

The paper describes a proposal for interactive visualization of a data-mining model generated with Association Rule (AR) technique, applying the Self-Organizing Map (SOM). Representations of visual perception model of AR based on a schema called AVM-DM (Augmented Visualization Models for Data Mining) are established, together with data and patterns, which support the visual exploration stage model, fit in the context of a data-mining (DM) process. This seeks to answer generic questions of users or data analysts regarding the inner workings of the model, and to achieve support in understanding the generated model. The use of the SOM technique as a visual enhancer applied to model AR, serves a dual purpose: to obtain the spatial distribution of the subset of data associated with a rule, and the display of this partition using a map. The visualization for the RA model proposed in this work is implemented through experimental software where users have different interaction mechanisms that allow them. Finally, the results from a controlled experiment, conducted with the user group are analyzed, those using this application prototype in parallel with other software to perform the same DM task on a previously prepared data. Preliminary analysis of the results of this evaluation allows on the one hand, to check the usefulness of the technique to increase visually SOM a model of AR, on the other hand, with additional views provided by the graphical elements, the level efficiency to support the understanding of the generated model.

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  • (2018)Literature ReviewPredictive Analysis on Large Data for Actionable Knowledge10.4018/978-1-5225-5029-7.ch002(14-58)Online publication date: 2018
  • (2018)TreePOD: Sensitivity-Aware Selection of Pareto-Optimal Decision TreesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.274515824:1(174-183)Online publication date: Jan-2018

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cover image ACM Other conferences
Interacción '14: Proceedings of the XV International Conference on Human Computer Interaction
September 2014
435 pages
ISBN:9781450328807
DOI:10.1145/2662253
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • Universidad de La Laguna: Universidad de La Laguna

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 September 2014

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Author Tags

  1. Data mining
  2. visual data mining
  3. visualization of association rules
  4. visualization of data mining models

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  • Research-article
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Interacción '14
Interacción '14: XV International Conference on Human Computer Interaction
September 10 - 12, 2014
Tenerife, Puerto de la Cruz, Spain

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Overall Acceptance Rate 109 of 163 submissions, 67%

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Cited By

View all
  • (2022)Visualizing Rule-based Classifiers for Clinical Risk Prognosis2022 IEEE Visualization and Visual Analytics (VIS)10.1109/VIS54862.2022.00020(55-59)Online publication date: Oct-2022
  • (2018)Literature ReviewPredictive Analysis on Large Data for Actionable Knowledge10.4018/978-1-5225-5029-7.ch002(14-58)Online publication date: 2018
  • (2018)TreePOD: Sensitivity-Aware Selection of Pareto-Optimal Decision TreesIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.274515824:1(174-183)Online publication date: Jan-2018

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