SPIN! data mining system based on component architecture

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Abstract

The SPIN! data mining system has a component-based architecture, where each component encapsulates some specific functionality such as a data source, an analysis algorithm or visualization. Individual components can be visually linked within one workspace for solving different data mining tasks. The SPIN! friendly user interface and flexible underlying component architecture provide a powerful integrated environment for executing main tasks constituting a typical data mining cycle: data preparation, analysis, and visualization. © Springer-Verlag Berlin Heidelberg 2004.

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APA

Savinov, A. (2004). SPIN! data mining system based on component architecture. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3202, 555–557. https://doi.org/10.1007/978-3-540-30116-5_64

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