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Hirschman, Lynette; And Others – Information Processing and Management, 1975
Describes an automatic procedure which uses the syntactic relations as the basis for grouping words into classes. It forms classes by grouping together nouns that occur as subject (or object) of the same verbs, and similarly by grouping together verbs occurring with the same subject or object. (Author)
Descriptors: Classification, Cluster Grouping, Computational Linguistics
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Koymen, Kemal – Information Processing and Management, 1975
Reports research undertaken to conceptualize, design, and implement a system for automatic indexing, classification and repositing of "text items," which may be any aggregate of information in English Language on a computer-readable media, in a standard format. (Author)
Descriptors: Automatic Indexing, Classification, Databases, Online Systems
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Hoyle, W. G. – Information Processing and Management, 1976
When documentary material is indexed by a mechanized classification system, and the results judged by trained professionals, the number of documents in disagreement, after suitable adjustment, defines the error rate of the system. In a test case disagreement was 22 percent and, of this 22 percent, the computer correctly identified two-thirds of…
Descriptors: Automatic Indexing, Classification, Indexing, Library Automation
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Johnson, F. C. – Information Processing and Management, 1994
Proposes a classification of elliptical utterances based on a pragmatic analysis of the intention in information seeking dialogs within natural language understanding (NLU) systems. The traditional classification of ellipsis is described, analysis of the dialogs is discussed, and implications for the design of NLU systems are suggested. (Contains…
Descriptors: Classification, Context Clues, Information Seeking, Intention
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Kwok, K. L. – Information Processing and Management, 1975
Descriptors: Citations (References), Classification, Cluster Grouping, Library Automation
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Lee, E. T. – Information Processing and Management, 1976
Four advantages of storing and retrieving geometric figures and chromosome images through the use of shape-oriented similarity measures are presented. (Author)
Descriptors: Classification, Geometric Concepts, Information Retrieval, Information Storage
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Boreham, Jillian; Niblett, Bryan – Information Processing and Management, 1976
A suite of computer programs has been developed for representing the full text of lengthy documents in vector form and classifying them by a clustering method. (Author)
Descriptors: Classification, Cluster Grouping, Computer Programs, Information Retrieval
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Rorvig, Mark E.; And Others – Information Processing and Management, 1993
Discusses pattern classification of images by computer and describes the Two Domain Method in which expert knowledge is acquired using multidimensional scaling of judgments of dissimilarities and linear mapping. An application of the Two Domain Method that tested its power to discriminate two patterns of human blood leukocyte distribution is…
Descriptors: Classification, Computer Oriented Programs, Expert Systems, Multidimensional Scaling
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Garland, Kathleen – Information Processing and Management, 1983
Describes method of automatic document classification in which documents classed as QA by Library of Congress classification system were clustered at six thresholds by keyword using single link technique. Automatically generated clusters were compared to Library of Congress subclasses, and partial classified hierarchy was formed. Twelve references…
Descriptors: Automation, Cataloging, Classification, Cluster Analysis
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Yuexiao, Zhang – Information Processing and Management, 1988
Clarifies the idea of information by dividing the range of definitions into different parts and identifying several points of misunderstanding. The discussion covers the sciences relating to the concept of information; the nomenclatures of informatics, informatology, information science, and information sciences; and the multidimensional…
Descriptors: Classification, Communication (Thought Transfer), Definitions, Global Approach
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Wilkerson, Leonard; Paul, Arthur – Information Processing and Management, 1985
Presents a general definition of a system; outlines a collection of properties identified through a review of the literature to be used as a criterion for determining whether an aggregation of objects is a system; and tests a computer-based system against the checklist to see how it measures up. (MBR)
Descriptors: Check Lists, Classification, Definitions, Evaluation Criteria
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Eisenberg, Michael B.; Small, Ruth V. – Information Processing and Management, 1993
Describes the concept of Information Based Education, provides a theoretical basis for investigating the role of information in education, and begins developing a classification scheme for documenting and distinguishing among information bases. Attributes of information associated with information resources, information skills, information…
Descriptors: Classification, Educational Theories, Information Sources, Information Technology
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Van Rijsbergen, C. J.; Croft, W. B. – Information Processing and Management, 1975
The single-link cluster method is used to construct a hierarchic classification for the 1400 documents in the Cranfield test collection. A variety of retrieval strategies applied to this hierarchy are evaluated in terms of effectiveness and efficiency. (Author)
Descriptors: Classification, Cluster Grouping, Efficiency, Information Retrieval
Peer reviewed Peer reviewed
Egghe, L. – Information Processing and Management, 1988
Presents a mathematical theory that can be used to define concentration places of objects within unordered classes. The application to research on the evolution of journals and subject areas is illustrated, and an online method of calculating concentration evolution is described. (1 references) (CLB)
Descriptors: Algorithms, Bibliometrics, Classification, Databases
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Kar, Gautam; White, Lee J. – Information Processing and Management, 1978
Investigates the feasibility of using a distance measure for automatic sequential document classification. This property of the distance measure is used to design a sequential classification algorithm which classifies key words and analyzes them separately in order to assign primary and secondary classes to a document. (VT)
Descriptors: Algorithms, Automatic Indexing, Classification, Information Processing
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