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Information Processing and… | 7 |
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Zunde, Pranas | 2 |
Dolby, James L. | 1 |
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Hoffmann, Eliahu | 1 |
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Zunde, Pranas – Information Processing and Management, 1981
Discusses the empirical importance of Shannon's Information Theory and its impact on information science, and investigates the principle of least effort as a means of broadening the empirical foundation of Information Theory. Listed are 14 sources. (Author/RBF)
Descriptors: Information Science, Information Theory, Mathematical Formulas, Probability

Hintikka, Jaakko – Information Processing and Management, 1984
This essay distinguishes several different kinds of measures of information from each other, noting that differences between them show that our pretheoretical concept of information is multiply ambiguous. Incremental information, conditional information, transmitted information, expected information, and deductive information are discussed. Ten…
Descriptors: Equations (Mathematics), Fundamental Concepts, Information Science, Information Theory

Zunde, Pranas – Information Processing and Management, 1984
This 440-item annotated bibliography presents a highly selected list of documents which focus on information theory applications to information science, information processing, or information systems analysis and design. The bibliography is arranged alphabetically by author and a subject/keyword index is provided.
Descriptors: Annotated Bibliographies, Information Processing, Information Science, Information Systems

Hoffmann, Eliahu – Information Processing and Management, 1982
This analysis of information contents of documents (i.e., network of nodes which represent facts reported therein and their conceptual interconnections) yields a method for quantitative measurement of such content. Basic premises, calculation, salient features of the method, and information theories are discussed. Four references, graphic…
Descriptors: Content Analysis, Data, Equations (Mathematics), Graphs

Dolby, James L. – Information Processing and Management, 1984
Suggests structure based on two sets of principles for deriving meaning from data: Shannon's measure of entropy, which provides means of measuring amount of information in message; and Ranganathan's faceted classification scheme, which provides means of determining number of meaningful data. Syntax, meaning, and semantics of data are discussed.…
Descriptors: Classification, Communication (Thought Transfer), Data, Data Analysis

Thow-Yick, Liang – Information Processing and Management, 1994
Identifies a set of objects that is genuinely indigenous to management information systems and constructs a simple model based on them. The model's four basic entities, which define the scope of information theory, are data, information, knowledge, and wisdom. (Contains 46 references.) (KRN)
Descriptors: Concept Formation, Data, Information Processing, Information Science

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