NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 11 results Save | Export
Grimson, J. B.; Stacey, G. M. – Information Storage and Retrieval, 1974
Two different directory structuring techniques--division hash technique and a hydrid technique--are compared for the same set of keys with directories of from 10,000 to 100,000 unique keys. Retrieval costs, in terms of the number of accesses of secondary storage required to retrieve the keys, are considered in detail. (Author)
Descriptors: Computer Programs, Databases, Information Storage
Heaps, H. S.; Schuegraf, E. J. – Information Storage and Retrieval, 1975
Describes the advantages of using variable length equifrequent fragments as the language elements for compression coding of large data bases. (Author)
Descriptors: Algorithms, Databases, Information Storage, Information Systems
Reardon, Bernard C. – Information Storage and Retrieval, 1974
The Retrieval of information by means of freely-chosen descriptors may be handled efficiently by creating an inverted file organization in an adaptive manner, entries in this file being generated by sequential searching of the master file, when required. (Author)
Descriptors: Databases, Information Retrieval, Information Storage, Search Strategies
Giroux, Pierre; Khadem, Riaz – Information Storage and Retrieval, 1973
An English summary is provided for this French article which describes the first stage of a research project using the Bose, Ghosh and Abraham theory with attributes of multiple values applied to a file containing a large number (10 6) of records. (7 references) (Author/SJ)
Descriptors: Databases, Information Processing, Information Retrieval, Information Storage
Lynch, Michael F. – Information Storage and Retrieval, 1973
Substantial degrees of compression of bibliographical data bases result from the application to them of a modified form of run-length coding. (14 references) (Author)
Descriptors: Citations (References), Databases, Information Retrieval, Information Storage
Coaker, Frank W. – Information Storage and Retrieval, 1974
Traditional and table-driven methods of editing input data for a data-storage system are compared. An application of table-driven input editing is described for a high-volume, multiple-format, clinical data-base. (Author)
Descriptors: Computer Programs, Databases, Editing, Information Storage
Rettenmayer, John W. – Information Storage and Retrieval, 1972
This study proposes and investigates file ordering and retrieval techniques which, it is hypothesized, will: (a) reduce the average cost of retrieving records which satisfy a query, and (b) increase the rate of retrieval in the initial portion of the response period. (8 references) (Author)
Descriptors: Cluster Grouping, Cost Effectiveness, Databases, Information Retrieval
And Others; Prywes, Noah S. – Information Storage and Retrieval, 1974
Reports on a series of programs that have been developed to process data bases, consisting of textual items, and to index and arrange (classify) the data items in accordance with an automatically generated classification system. (Author)
Descriptors: Automatic Indexing, Automation, Classification, Computer Programs
Sparck Jones, Karen – Information Storage and Retrieval, 1973
Retrieval performance with automatic term classifications for three test collections has been variable. This paper attempts to discover why. The real difference between the collections is in the separation of relevant from non-relevant documents. The separation is so poor that classification cannot be expected to succeed. (14 references)…
Descriptors: Automatic Indexing, Classification, Cluster Analysis, Databases
Irvine, J. J. – Information Storage and Retrieval, 1973
This paper describes a technical document center providing remote-terminal retrospective search capability and shows its evolution from the traditional catalog card operation. (2 references) (Author)
Descriptors: Computers, Databases, Information Retrieval, Information Storage
Libbey, Miles A. – Information Storage and Retrieval, 1973
A data base designed for scientists, engineers, and others in need of factual information developed under the Long Range Research Project at Indiana University is described. (3 references) (SJ)
Descriptors: Databases, Information Retrieval, Information Services, Information Sources