Abstract
Interactive data mining focuses on efficient and effective human-computer interactions for data analysis purposes. An interactive system is an integration of a human user and a computer machine. ICS, an interactive classification system, is implemented to demonstrate the power of interactive data mining. The interaction is mutually beneficial to users and machines. This article describes the architecture of ICS, and introduces the main features of ICS in the entire data mining process.
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Zhao, Y., Yao, Y., Yan, M. (2007). ICS: An Interactive Classification System. In: Kobti, Z., Wu, D. (eds) Advances in Artificial Intelligence. Canadian AI 2007. Lecture Notes in Computer Science(), vol 4509. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72665-4_12
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DOI: https://doi.org/10.1007/978-3-540-72665-4_12
Publisher Name: Springer, Berlin, Heidelberg
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