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Maron, M. E. – Journal of the American Society for Information Science, 1979
An analysis of the question of the optimal depth of indexing in order to design an effective document retrieval system is presented. It is shown that some more fundamental questions about indexing and retrieval rather than indexing depth are central to the issue. (Author/MBR)
Descriptors: Indexing, Information Retrieval, Information Systems, Mathematical Models
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Bommer, Michael – Journal of the American Society for Information Science, 1975
The major reasons which seem to be preventing operations research from achieving its potential and fulfilling the expectations of its proponents in library management are explored. (Author)
Descriptors: Libraries, Library Administration, Library Planning, Mathematical Models
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Praunlich, Peter; Kroll, Michael – Journal of the American Society for Information Science, 1978
Recent mathematical descriptions of Bradford's distribution, and a new formulation that provides a more accurate estimation of the total number of papers and sources on a given scientific subject are presented. (Author/MBR)
Descriptors: Bibliographies, Content Analysis, Graphs, Mathematical Models
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Rouse, William B. – Journal of the American Society for Information Science, 1979
Discusses the purpose of mathematical models and reviews the phases of the modeling process--defining performance, representing the problem, predicting performance, estimating parameters, defining optimization criterion, determining solution, and implementing results. Reviews of book-use, resource allocation, and library network models are…
Descriptors: Libraries, Library Circulation, Library Networks, Mathematical Models
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Crawford, Robert G. – Journal of the American Society for Information Science, 1981
Describes and discusses the relational organization of a bibliographical database, the notion of normal forms, relational languages, and the advantages of the relational approach to information retrieval. Twenty references are cited. (FM)
Descriptors: Bibliographies, Databases, Information Retrieval, Models
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Bennion, Bruce C.; Neuton, Laurence A. – Journal of the American Society for Information Science, 1976
The outbreak of research on "anomalous water," or "polywater," from 1962 to 1974 provides an interesting opportunity for testing the epidemic theory of idea dissemination. (Author)
Descriptors: Information Dissemination, Mathematical Models, Scientific Research
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Worthen, Dennis B. – Journal of the American Society for Information Science, 1973
Goffman's epidemic theory is presented and compared to the contagion theory developed by Menzel. An attempt is made to compare the two models presented and examine their similarities and differences. The conclusion drawn is that the two models are very similar in their approach to understanding communication processes. (14 references) (Author/SJ)
Descriptors: Communication (Thought Transfer), Information Theory, Models
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Yovits, Marshall C.; Kleyle, Robert M. – Journal of the American Society for Information Science, 1993
Presents the concept of the average decision maker as a statistical entity with 10 essential properties, and defines the information state in terms of the decision maker's probability of choice of various courses of action. The implications for a generalized theory of information science are suggested. (33 references) (EAM)
Descriptors: Decision Making, Information Science, Models, Theories
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Yaru, Dang – Journal of the American Society for Information Science, 1997
Describes construction of citation network systems and some subsystems (time sequence network, cocitation network, couple network). Establishes structural modeling of these systems by means of system engineering. Explains and analyzes citation network systems. Includes graphs and charts. (JAK)
Descriptors: Citation Analysis, Computer Networks, Computer System Design, Cooperation
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Bookstein, Abraham; Swanson, Don R. – Journal of the American Society for Information Science, 1975
A model of word occurrences in documents is presented in the context of a model information system. (Author/PF)
Descriptors: Indexing, Information Retrieval, Information Systems, Mathematical Models
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Glockmann, H. P.; Ludwig, B. M. – Journal of the American Society for Information Science, 1975
A statistical description of a text retrieval system allows the derivation of a unique and measurable performance criterion that, in turn, may be used in discussing various parameters of systems performance. (Author/PF)
Descriptors: Databases, Information Retrieval, Mathematical Models, Statistical Analysis
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Prade, Henri; Testemale, Claudette – Journal of the American Society for Information Science, 1987
Compares and expands upon two approaches to dealing with fuzzy relational databases. The proposed similarity measure is based on a fuzzy Hausdorff distance and estimates the mismatch between two possibility distributions using a reduction process. The consequences of the reduction process on query evaluation are studied. (Author/EM)
Descriptors: Comparative Analysis, Databases, Information Retrieval, Mathematical Models
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Goetschel, Roy; Voxman, William – Journal of the American Society for Information Science, 1987
Relations on a finite set V are viewed as weighted graphs. Using the language of graph theory, two methods of partitioning V are examined: selecting threshold values and applying them to a maximal weighted spanning forest, and using a parametric linear program to obtain a most adhesive partition. (Author/EM)
Descriptors: Graphs, Mathematical Models, Research Methodology, Statistical Analysis
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Wittemore, Bruce J.; Yovits, M. C. – Journal of the American Society for Information Science, 1973
A generalized framework for developing analytical and conceptual relationships involving the flow of information has previously been suggested. This paper provides further refinement, rigor, and extension for some of the earlier relationships suggested. (12 references) (Author)
Descriptors: Decision Making, Information Science, Information Theory, Models
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Jarvelin, Kalervo – Journal of the American Society for Information Science, 1989
Examines factors that determine user charges based on query processing costs in numeric databases, and analyzes the problem of estimating such charges in advance. An approach to query cost estimation is presented which is based on the relational data model and the query optimization, cardinality estimation, and file design techniques developed in…
Descriptors: Cost Estimates, Models, Numeric Databases, Online Searching
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