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Introduction to the Special Issue on Interactive Computational Visual Analytics

Introduction to the Special Issue on Interactive Computational Visual Analytics Introduction to the Special Issue on Interactive Computational Visual Analytics REMCO CHANG, Tufts University DAVID S. EBERT, Purdue University DANIEL KEIM, University of Konstanz This editorial introduction describes the aims and scope of ACM Transactions on Interactive Intelligent Systems's special issue on interactive computational visual analytics. It explains why visual analytics is crucial to the growing needs surrounding data analysis, and it shows how the four articles selected for this issue reflect this theme. Categories and Subject Descriptors: H.1.2 [User/Machine Systems]: Human Information Processing; H.5.2 [User Interfaces]: Graphical User Interfaces (GUI) General Terms: Visual Analytics, Interaction Additional Key Words and Phrases: Information visualization, exploratory data analysis, statistics, computational methods ACM Reference Format: Remco Chang, David Ebert, and Daniel Keim. 2014. Introduction to the special issue on interactive computational visual analytics. ACM Trans. Interact. Intell. Syst. 4, 1, Article 3 (March 2014), 3 pages. DOI: http://dx.doi.org/10.1145/2594648 1. INTRODUCTION Visual analytics is defined as the science of analytical reasoning facilitated by visual interactive interfaces. Since its inception in 2006, the field has grown to encompass a wide array of topics relating to the theory, design, and development of interactive visual interfaces for the purposes of data exploration, data analysis, sense http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Interactive Intelligent Systems (TiiS) Association for Computing Machinery

Introduction to the Special Issue on Interactive Computational Visual Analytics

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2014 by ACM Inc.
ISSN
2160-6455
DOI
10.1145/2594648
Publisher site
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Abstract

Introduction to the Special Issue on Interactive Computational Visual Analytics REMCO CHANG, Tufts University DAVID S. EBERT, Purdue University DANIEL KEIM, University of Konstanz This editorial introduction describes the aims and scope of ACM Transactions on Interactive Intelligent Systems's special issue on interactive computational visual analytics. It explains why visual analytics is crucial to the growing needs surrounding data analysis, and it shows how the four articles selected for this issue reflect this theme. Categories and Subject Descriptors: H.1.2 [User/Machine Systems]: Human Information Processing; H.5.2 [User Interfaces]: Graphical User Interfaces (GUI) General Terms: Visual Analytics, Interaction Additional Key Words and Phrases: Information visualization, exploratory data analysis, statistics, computational methods ACM Reference Format: Remco Chang, David Ebert, and Daniel Keim. 2014. Introduction to the special issue on interactive computational visual analytics. ACM Trans. Interact. Intell. Syst. 4, 1, Article 3 (March 2014), 3 pages. DOI: http://dx.doi.org/10.1145/2594648 1. INTRODUCTION Visual analytics is defined as the science of analytical reasoning facilitated by visual interactive interfaces. Since its inception in 2006, the field has grown to encompass a wide array of topics relating to the theory, design, and development of interactive visual interfaces for the purposes of data exploration, data analysis, sense

Journal

ACM Transactions on Interactive Intelligent Systems (TiiS) – Association for Computing Machinery

Published: Apr 1, 2014

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