Knowledge discovery in databases from a perspective of intelligent information visualization
Juan Carlos Alvarado‐Pérez, Harold Bolanos-Ramirez, Diego Hernán Peluffo-Ordóñez, S. Murillo
Abstract
Juan Carlos Alvarado‐Pérez, Harold Bolanos-Ramirez, Diego Hernán Peluffo-Ordóñez, S. Murillo
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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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