Clustering records in information retrieval systems. (c1995)
Includes bibliographical references.
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| Format: | masterThesis |
| Published: |
1995
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| Online Access: | http://hdl.handle.net/10725/228 https://doi.org/10.26756/th.1995.9 |
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| _version_ | 1864513453239042049 |
|---|---|
| author | Al-Saffar, Maisaa |
| author_facet | Al-Saffar, Maisaa |
| author_role | author |
| dc.creator.none.fl_str_mv | Al-Saffar, Maisaa |
| dc.date.none.fl_str_mv | 1995 1995-03 2011-01-14T07:20:25Z 2011-01-14T07:20:25Z 2011-01-14 |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10725/228 https://doi.org/10.26756/th.1995.9 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Lebanese American University |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Management information systems Information storage and retrieval systems |
| dc.title.none.fl_str_mv | Clustering records in information retrieval systems. (c1995) |
| dc.type.none.fl_str_mv | Thesis info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
| description | Includes bibliographical references. |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| id | LAURepo_9c5f264a910d80728aa783c2236eedc2 |
| language_invalid_str_mv | en |
| network_acronym_str | LAURepo |
| network_name_str | Lebanese American University repository |
| oai_identifier_str | oai:laur.lau.edu.lb:10725/228 |
| publishDate | 1995 |
| publisher.none.fl_str_mv | Lebanese American University |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Clustering records in information retrieval systems. (c1995)Al-Saffar, MaisaaManagement information systemsInformation storage and retrieval systemsIncludes bibliographical references.This project is a study of the space density of a file and how it affects retrieval time. The number of blocks that are retrieved when a query is made to the document is used as a measure of response time. The space density is an indication of how close related records are placed. The hannning distance of a file is used as a measure of space density. A sequencing algorithm based on threshold values that reorders records in a file so as to increase average record similarity is used to obtain varying space densities. Simulation experiments conducted proved that a great reduction in response time is yielded after the restructuring of a file with a reasonable amount of work required in sequencing. Other terms such as block size and terms in a query which affect response time are studied. Results from the experiments are shown graphically. Statistical methods are used to confirm the experimental results.1 bound copy: 66 leaves; ill., tables available at RNL.Lebanese American University2011-01-14T07:20:25Z2011-01-14T07:20:25Z19952011-01-141995-03Thesisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10725/228https://doi.org/10.26756/th.1995.9eninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/2282021-03-19T09:58:57Z |
| spellingShingle | Clustering records in information retrieval systems. (c1995) Al-Saffar, Maisaa Management information systems Information storage and retrieval systems |
| status_str | publishedVersion |
| title | Clustering records in information retrieval systems. (c1995) |
| title_full | Clustering records in information retrieval systems. (c1995) |
| title_fullStr | Clustering records in information retrieval systems. (c1995) |
| title_full_unstemmed | Clustering records in information retrieval systems. (c1995) |
| title_short | Clustering records in information retrieval systems. (c1995) |
| title_sort | Clustering records in information retrieval systems. (c1995) |
| topic | Management information systems Information storage and retrieval systems |
| url | http://hdl.handle.net/10725/228 https://doi.org/10.26756/th.1995.9 |