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Cook, Kenneth H. – Information Processing and Management, 1975
Describes a relevance decision model based on a threshold concept and techniques to validate the model which were developed through pretesting. (Author/PF)
Descriptors: Information Retrieval, Models, Relevance (Information Retrieval)

Grosch, Audrey N. – Information Processing and Management, 1976
Describes a model conceived as an aid to the designer of serials management systems for structuring the serial arrival prediction, check-in, and claiming functions of these systems. The model is described with examples of its application to known serial issue arrival cases in a table of examples. (Author)
Descriptors: Computer Oriented Programs, Library Automation, Models, Serials

Reddi, Arumalla V. – Information Processing and Management, 1984
Presents a system model for transmission of input data that is coming from terminals of users in a limited user resource-sharing environment. Performance of a mini/microcomputer receiving mixture of picture-phone terminal data is analyzed with constant service times, synchronous transmission, and single-server interruptions through first-order…
Descriptors: Computer Storage Devices, Display Systems, Information Networks, Information Storage

McAlpine, W. E. – Information Processing and Management, 1976
A generalized Keynesian "general equilibrium" model, derived largely from macropolitical considerations, is presented. (Author)
Descriptors: Economics, Information Processing, Information Science, Models

Salton, G.; And Others – Information Processing and Management, 1976
These two indexing systems are briefly described and experimental evidence is cited showing that a combination of both theories produces better retrieval performance than either one alone. Appropriate conclusions are reached concerning viable automatic indexing procedures usable in practice. (Author)
Descriptors: Automatic Indexing, Information Retrieval, Models, Subject Index Terms

Stemple, D. W.; And Others – Information Processing and Management, 1986
Presents a database system development model in which theoretical support in the form of automated theorem proving is brought to bear on the problem of enforcing integrity, i.e., ensuring that the database system represents only those states and transitions that are possible in the world it models. (MBR)
Descriptors: Databases, Flow Charts, Models, Programing

Krejci, Frantisek – Information Processing and Management, 1986
HIT methodology for conceptual data structure design is briefly described and exemplified. Main features of the methodology are the natural formalism of the description of conceptual schema, and an easy-to-understand graphical way of communication between both the designer and individual experts substituting future users. (Author/MBR)
Descriptors: Database Management Systems, Design Requirements, Diagrams, Models

Haas, David F.; Kraft, Donald H. – Information Processing and Management, 1984
This paper examines representative research in information science and compares its designs to an abstract ideal of the experimental research design. Threats to validity of conclusions are highlighted, including history, maturation, testing, instrumentation, statistical regression, selection biases, experimental mortality, and selection-maturation…
Descriptors: Information Science, Models, Research Design, Research Methodology

Zunde, Pranas – Information Processing and Management, 1981
The problem of modeling information systems is studied with a focus on predictability. Syntactic, semantic, and pragmatic criteria are discussed, and 11 references are cited. (Author/BK)
Descriptors: Information Systems, Models, Predictive Measurement, Predictive Validity

Chen, Oscal T.-C.; And Others – Information Processing and Management, 1992
Describes a modified frequency-sensitive self-organization (FSO) algorithm for image data compression and the associated VLSI architecture. Topics discussed include vector quantization; VLSI neural processor architecture; detailed circuit implementation; and a neural network vector quantization prototype chip. Examples of images using the FSO…
Descriptors: Algorithms, Coding, Information Processing, Mathematical Formulas

Shaw, W. M., Jr. – Information Processing and Management, 1976
Focuses on the library-user interface by relating two measures of user satisfaction, book availability and the delay associated with recalls, to the loan policy of the library. This relation is established by computer simulation techniques. (Author)
Descriptors: College Libraries, Library Circulation, Models, Simulation

Lamersdorf, W.; And Others – Information Processing and Management, 1986
Identifies requirements for representing structural aspects of nonconventional information system applications and demonstrates how recursive data models support information systems better than record-based database modelling tools. Structural concepts for representing office data objects are discussed and applied to an office example. Language…
Descriptors: Databases, Information Systems, Models, Programing

Brookes, Bertram C. – Information Processing and Management, 1984
Four empirical laws of bibliometrics--anomalous number, Lotka's, Zipf's, and Bradford's--together with Laplace's "law of succession" and de Solla Price's cumulative advantage distribution are shown to be almost identical. A simple model shows that the frequency forms conform with inverse square law over appropriate interval. (Fifteen…
Descriptors: Equations (Mathematics), Graphs, Information Science, Models

Shute, Steven J.; Smith, Philip J. – Information Processing and Management, 1993
Describes an empirical study that was conducted to examine the performance of expert search intermediaries from Chemical Abstracts Service. Highlights include subject-independent and subject-dependent expertise; a model of the use of subject-specific knowledge; and implications for computerized intermediary systems and for training human…
Descriptors: Models, Online Searching, Online Systems, Search Strategies

Howard, Paul G.; Vitter, Jeffrey Scott – Information Processing and Management, 1992
Analyzes the amount of compression possible when arithmetic coding is used for text compression in conjunction with various input models. Algorithms are analyzed; modeling effects are considered; scaling is discussed; higher order models are examined, including prediction by partial matching; and coding effects are described. (34 references) (LRW)
Descriptors: Algorithms, Coding, Computation, Information Processing