Authors:
- Focuses on the quality assessment of the results and the use of uncertainty in data mining rather than providing a general treatment of the subject of data mining
Part of the book series: Advanced Information and Knowledge Processing (AI&KP)
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Table of contents (6 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Department of Informatics, Athens University of Economics and Business, Greece
Michalis Vazirgiannis, Maria Halkidi
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Department of Computer Science and Engineering, University of California, Riverside, USA
Dimitrios Gunopulos
Bibliographic Information
Book Title: Uncertainty Handling and Quality Assessment in Data Mining
Authors: Michalis Vazirgiannis, Maria Halkidi, Dimitrios Gunopulos
Series Title: Advanced Information and Knowledge Processing
DOI: https://doi.org/10.1007/978-1-4471-0031-7
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2003
Hardcover ISBN: 978-1-85233-655-4Published: 24 July 2003
Softcover ISBN: 978-1-4471-1119-1Published: 04 October 2012
eBook ISBN: 978-1-4471-0031-7Published: 06 December 2012
Series ISSN: 1610-3947
Series E-ISSN: 2197-8441
Edition Number: 1
Number of Pages: IX, 226
Topics: Data Structures and Information Theory, Information Systems and Communication Service, Data Structures, Management of Computing and Information Systems