Classification and Data Mining
Editors: Giusti, Antonio, Ritter, Gunter, Vichi, Maurizio (Eds.)
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- About this book
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This volume contains both methodological papers showing new original methods, and papers on applications illustrating how new domain-specific knowledge can be made available from data by clever use of data analysis methods. The volume is subdivided in three parts: Classification and Data Analysis; Data Mining; and Applications. The selection of peer reviewed papers had been presented at a meeting of classification societies held in Florence, Italy, in the area of "Classification and Data Mining".
- Table of contents (33 chapters)
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Robust Random Effects Models: A Diagnostic Approach Based on the Forward Search
Pages 3-10
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Joint Correspondence Analysis Versus Multiple Correspondence Analysis: A Solution to an Undetected Problem
Pages 11-18
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Inference on the CUB Model: An MCMC Approach
Pages 19-26
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Robustness Versus Consistency in Ill-Posed Classification and Regression Problems
Pages 27-35
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Issues on Clustering and Data Gridding
Pages 37-44
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Table of contents (33 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Classification and Data Mining
- Editors
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- Antonio Giusti
- Gunter Ritter
- Maurizio Vichi
- Series Title
- Studies in Classification, Data Analysis, and Knowledge Organization
- Copyright
- 2013
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-28894-4
- DOI
- 10.1007/978-3-642-28894-4
- Softcover ISBN
- 978-3-642-28893-7
- Series ISSN
- 1431-8814
- Edition Number
- 1
- Number of Pages
- XIV, 286
- Number of Illustrations
- 36 b/w illustrations, 49 illustrations in colour
- Topics
