Classification, Data Analysis, and Knowledge Organization: Models and Methods with Applications - Tapa blanda

Sinopsis

I: Mathematical and statistical methods for classification and data analysis.- Classification and clustering methods.- An agglomerative method for two-mode hierarchical clustering.- Selection from overlapping classifications.- On cluster methods for qualitative data II.- A regression analytic modification of Ward's method: A contribution to the relation between cluster analysis and factor analysis.- The "partition with a structure" concept in biological data analysis.- Classification with neural networks.- Statistical and probabilistic aspects of clustering and classifications.- Multigraphs for the uncovering and testing of structures.- Estimators and relative efficiencies in models of overlapping samples.- Lower bounds for the tail probabilities of the scan statistic.- Poisson approximations of image processes in computer tomography.- Statistical, geometrical and algebraic methods for data analysis.- Some recent developments in linear models: A short survey (plenary lecture).- Causal analysis in marketing research with LISREL or a combination of traditional multivariate methods?.- Analysis of data measured on a lattice.- Dual algorithms in multidimensional scaling.- Comparison of biplot analysis and formal concept analysis in the case of a repertory grid.- Convexity in ordinal data.- Classification and seriation by iterative reordering of a data matrix.- Data analysis based on a conceptual file.- II: Knowledge organization, data bases, and information retrieval.- Modelling, representation and organization of conceptual knowledge.- Decentralized modelling of data and relationships in enterprises.- A contribution to the examination of semantic relations between lexemes.- A mathematical model for conceptual knowledge systems.- Compositional semantics and concept representation 163.- Data bases, expert systems, information retrieval, and library systems.- Small and beautiful? Some remarks on evaluating microcomputer based library systems.- A tool for validating PROLOG programs.- On the database component in the knowledge-based system WIMDAS.- Information retrieval techniques in rule-based expert systems.- Object databases and thesauri for small museums (plenary lecture).- Terminology and classification.- The structure and role of specialized information in scientific and technical terminologies.- Terminology work in the World Health Organization: EUROTERM abbreviations.- HyperTerm - A proposal for a user-friendly termbank.- The role of classification in terminology documentation (plenary lecture).- III: Applications and methods for special subject fields.- Classification, systematics, and evolution in biology.- The hierarchy of organisms: Systematics and classification in biology (plenary lecture).- Estimating phylogenies with invariant functions of data (plenary lecture).- Statistical analysis of genetic distance data.- Variance estimation in the additive tree model.- Classification and documentation in medicine.- Semi-automated classification of medical phrases using a personal computer.- Structure of informations on medical trials.- Recent problems and longterm activities in the classification of medical concepts.- Exploring three-dimensional image data with classification methods.- Data analysis in the archeological and historical sciences.- The reconstruction of "genetic kinship" in prehistoric burial complexes - Problems and statistics.- An approach to a formal statistical analysis of historical data based on the town of Bamberg.- Automatic syntax analysis of meroitic funeral inscriptions.- Application of computers in historical-topographical research: A database for travel reports on Greece (18th and 19th century).- The use of multivariate statistics in Scandinavian archeology.- The application of correspondence analysis: some examples in archeology.- An analysis of beads found in the Merovingian cemetery of Weingarten.- Classification in industry: Coding systems and commodity description.- Bank code numbers as defining a

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