Advances in Data Science and Classification

Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98) Università “La Sapienza”, Rome, 21–24 July, 1998

AvAlfredo Rizzi,Maurizio Vichi

Häftad, Engelska, 1998

Del i serien Studies in Classification, Data Analysis, and Knowledge Organization

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Beskrivning

International Federation of Classification Societies The International Federation of Classification Societies (lFCS) is an agency for the dissemination of technical and scientific information concerning classification and multivariate data analysis in the broad sense and in as wide a range of applications as possible; founded in 1985 in Cambridge (UK) by the following Scientific Societies and Groups: - British Classification Society - BCS - Classification Society of North America - CSNA - Gesellschaft fUr Klassification - GfKI - Japanese Classification Society - JCS - Classification Group ofItalian Statistical Society - CGSIS - Societe Francophone de Classification - SFC Now the IFCS includes also the following Societies: - Dutch-Belgian Classification Society - VOC - Polish Classification Section - SKAD - Portuguese Classification Association - CLAD - Group at Large - Korean Classification Society - KCS IFCS-98, the Sixth Conference of the International Federation of Classification Societies, was held in Rome, from July 21 to 24, 1998. Five preceding conferences were held in Aachen (Germany), Charlottesville (USA), Edinburgh (UK), Paris (France), Kobe (Japan).

Produktinformation

Utgivningsdatum:1998-07-10
Mått:155 x 235 x 38 mm
Vikt:1 042 g
Format:Häftad
Språk:Engelska
Serie:Studies in Classification, Data Analysis, and Knowledge Organization
Antal sidor:682
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540646419

Utforska kategorier

Tillämpad matematik inom Naturvetenskap och teknik
Databaser inom Data och IT

Innehållsförteckning

I: Methodologies in Classification.- II: Other Approaches for Classification: Discrimination, Neural Network, Regression Trees.- III: Factorial Methods.- IV: Symbolic and Textual Data Analysis.- V: Multivariate and Multidimensional Data Analysis.- VI: Case Studies.- Contributors Index.- Key Words Index.- Conference Committee.- List of Reviewers.