From Data and Information Analysis to Knowledge Engineering : Proceedings of the 29th Annual Conference of the Gesellschaft für Klassifikation e.V. University of Magdeburg, March 9–11, 2005 /
Contributor(s): Spiliopoulou, Myra [editor.] | Kruse, Rudolf [editor.] | Borgelt, Christian [editor.] | Nürnberger, Andreas [editor.] | Gaul, Wolfgang [editor.] | SpringerLink (Online service).
Material type:
BookSeries: Studies in Classification, Data Analysis, and Knowledge Organization: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.Description: XIX, 761 p. 239 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540313144.Subject(s): Culture -- Study and teaching | Library science | Statistics | Economic theory | Cultural and Media Studies | Library Science | Statistics, general | Statistics for Business/Economics/Mathematical Finance/Insurance | Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences | Statistics for Life Sciences, Medicine, Health Sciences | Economic Theory/Quantitative Economics/Mathematical MethodsDDC classification: 020 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK7884 |
Plenaries and Semi-plenaries -- Clustering -- Discriminant Analysis -- Classification with Latent Variable Models -- Multiway Classification and Data Analysis -- Ranking, Multi-label Classification, Preferences -- PLS Path Modeling, PLS Regression and Classification -- Robust Methods in Multivariate Statistics -- Data Mining and Explorative Multivariate Data Analysis -- Text Mining -- Fuzzy Data Analysis -- Economics and Mining in Business Processes -- Banking and Finance -- Marketing -- Adaptivity and Personalization -- User and Data Authentication in IT Security -- Bioinformatics and Biostatistics -- Classification of High-dimensional Biological and Medical Data -- Medical and Health Sciences -- Music Analysis -- Data Mining Competition.
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