Data Mining and Computational Intelligence:

The volume offers a comprehensive coverage of the recent advances in the application of soft computing and fuzzy logic theory to data mining and knowledge discovery databases. It focuses on some of the hardest, and yet unsolved, issues of data mining like understandability of patterns, finding compl...

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Bibliographic Details
Other Authors: Kandel, Abraham (Editor), Last, Mark (Editor), Bunke, Horst (Editor)
Format: Electronic eBook
Language:English
Published: Heidelberg Physica-Verlag HD 2001
Series:Studies in Fuzziness and Soft Computing 68
Subjects:
Links:https://doi.org/10.1007/978-3-7908-1825-3
https://doi.org/10.1007/978-3-7908-1825-3
https://doi.org/10.1007/978-3-7908-1825-3
Summary:The volume offers a comprehensive coverage of the recent advances in the application of soft computing and fuzzy logic theory to data mining and knowledge discovery databases. It focuses on some of the hardest, and yet unsolved, issues of data mining like understandability of patterns, finding complex relationships between attributes, handling missing and noisy data, mining very large datasets, change detection in time series, and integration of the discovery process with database management systems
Physical Description:1 Online-Ressource (XII, 356 p)
ISBN:9783790818253
DOI:10.1007/978-3-7908-1825-3