2015•Unpublished venueRequires access

Knowledge discovery in databases from a perspective of intelligent information visualization

Juan Carlos Alvarado‐Pérez, Harold Bolanos-Ramirez, Diego Hernán Peluffo-Ordóñez, S. Murillo

Open publisher page 1 citations

Abstract

This paper reviews some recent and classical, relevant works on information visualization with a special focus on those applied to big data. The central idea dealt in this work relies on how to perform data mining tasks in a visual fashion; that is, using graphical correlation and interaction techniques. The scope of this review encompasses visualization techniques, formal visualization systems, and smart information visualization models. As well, newest approaches consisting of visualization and data mining integration process are explained.

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What this paper is about

This paper reviews some recent and classical, relevant works on information visualization with a special focus on those applied to big data. The central idea dealt in this work relies on how to perform data mining tasks in a visual fashion; that is, using graphical correlation and interaction techniques. The scope of this review encompasses visualization techniques, formal visualization systems, and smart information visualization models. As well, newest approaches consisting of visualization and data mining integration process are explained.

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OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper reviews some recent and classical, relevant works on information visualization with a special focus on those applied to big data. The central idea dealt in this work relies on how to perform data mining tasks in a visual fashion; that is, using graphical correlation and interaction techniques. The scope of this review encompasses visualization techniques, formal visualization systems, and smart information visualization models. As well, newest approaches consisting of visualization and data mining integration process are explained.

Key concepts: Visualization, Computer science, Scope (computer science), Information visualization, Visual analytics, Data science, Perspective (graphical), Data visualization

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