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Walters, William H. – Journal of Documentation, 1999
Describes collection-development strategies for use in the identification, evaluation, and selection of numeric-data resources. Addresses three primary issues: the delineation of collecting scope and organizational role; the identification of potentially relevant data resources; and the evaluation of those resources in accordance with objective,…
Descriptors: Computer Software, Database Design, Evaluation Criteria, Information Sources
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Field, B. J. – Journal of Documentation, 1974
The development of the INSPEC vocabulary system which comprises a unified indexing and classification scheme is described together with the reasons for its adoption. (Author)
Descriptors: Classification, Databases, Documentation, Indexing
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Cleverdon, C. W.; Kidd, J. S. – Journal of Documentation, 1976
A test was carried out to investigate the assumption that there is a significant level of redundancy between documents. The conclusions were that notional overlap exists, but there appear to be very few cases of extreme redundancy, and at the document level, there is little possibility of practical application. (Author)
Descriptors: Databases, Indexing, Information Retrieval, Information Systems
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Vickers, P. H. – Journal of Documentation, 1973
Cost data were collected from eighteen computer-based systems in the U.S.A. and Europe. Analysis of the data shows costs affected more significantly by system management, salary variations, and productivity of staff, than by technical factors such as depth of indexing, data preparation methods, or computer programming. (4 references) (Author/SJ)
Descriptors: Budgets, Computers, Cost Effectiveness, Databases
Peer reviewed Peer reviewed
Dammers, H. F. – Journal of Documentation, 1975
A personal overview of the economics of computer use in information systems. (PF)
Descriptors: Computer Oriented Programs, Cost Effectiveness, Databases, Economic Factors
Peer reviewed Peer reviewed
Robertson, Alexander M.; Willett, Peter – Journal of Documentation, 1998
An n-gram is a string of characters, usually adjacent, extracted from a section of continuous text that can be used in spelling error detection and correction, query expansion, information retrieval, dictionary search, text compression, and language identification applications. This article provides an introduction to the use of n-grams in textual…
Descriptors: Databases, Dictionaries, Error Correction, Information Retrieval
Peer reviewed Peer reviewed
Vickery, Brian – Journal of Documentation, 1997
Introduces new procedures being used to extract knowledge from databases and discusses rationales for developing knowledge discovery methods. Methods are described for such techniques as classification, clustering, and the detection of deviations from pre-established norms. Examines potential uses of knowledge discovery in the information field.…
Descriptors: Classification, Cluster Grouping, Databases, Electronic Text