Visalix: A Web Application for Visual Data Analysis and Clustering
Loïc Lecerf, Boris Chidlovskii
This paper presents Visalix, a Web-based interface aimed at facilitating human-computer cooperation in complex data analysis tasks. It implements an interactive visualization paradigm which assists users in matching their domain knowledge with the algorithmic power of data analysis and mining
techniques. Visalix integrates a number of Visual Interactive Learning components for better understanding, easier interpreting complex datasets, and training prediction models.
ACM KDD 2009 (International Conference on Knowledge Discovery and Data Mining), Paris, France, June 28-31, 2009
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