
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
Springer (Publisher)
Published on 10. July 1998
Book
Paperback/Softback
XV, 682 pages
978-3-540-64641-9 (ISBN)
Description
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).
More details
Series
Edition
Softcover reprint of the original 1st ed. 1998
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
9 s/w Abbildungen
XV, 682 p. 9 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 38 mm
Weight
1042 gr
ISBN-13
978-3-540-64641-9 (9783540646419)
DOI
10.1007/978-3-642-72253-0
Schweitzer Classification
Content
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.