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Zunde, Pranas – Information Processing and Management, 1984
Reviews what information and software sciences have thus far accomplished in search for empirical regularities and laws and examines what theories have been developed to explain and account for regularities and laws. Specific laws and theories of information highlighted are those of Zipf, Bradford, Lotka, Mandelbrot, and Simon. (Forty references)…
Descriptors: Algorithms, Computer Software, Equations (Mathematics), Information Science
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Stanfel, Larry E. – Information Processing and Management, 1983
Describes methods for effecting the partition of information systems consisting of many components and interconnections into subsystems which are later made to interface with one another achieving an overall system. Clustering algorithms for the specific case of information systems are obtained and exemplified. Twenty-seven references are…
Descriptors: Algorithms, Cluster Analysis, Cluster Grouping, Design Requirements
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Bookstein, Abraham; And Others – Information Processing and Management, 1992
Describes the use of loglinear statistical models in the field of informetrics, especially for the analysis of information systems. A detailed example is given of developing a model based on loglinear analysis to determine book acquisition patterns in libraries, including mathematical considerations and algorithms. (19 references) (LRW)
Descriptors: Algorithms, Information Retrieval, Information Science, Information Systems
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Savoy, Jacques – Information Processing and Management, 1994
Proposes a new learning algorithm to improve the retrieval effectiveness of the search system used in the hypertext environment using an extended Boolean model with links to improve the ranking of retrieved items. Highlights include the basic retrieval scheme, the learning scheme, and a review of basic probabilistic retrieval models. (Contains 32…
Descriptors: Algorithms, Database Design, Databases, Hypermedia
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Kochen, Manfred – Information Processing and Management, 1984
Explores potential of mathematical theory of communication for information science and examines question of how to encode a message at time it is encountered for subsequent recall. Examples of problem, a prototype computer program and experiment, coding as embedding in associational nets, and nature of information are discussed. (Nine references.)…
Descriptors: Algorithms, Communication (Thought Transfer), Computer Software, Information Retrieval