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| Minker, Jack | 2 |
| Baltes, Kenneth G. | 1 |
| Frieder, Ophir | 1 |
| Hendrix, Vernon L. | 1 |
| Mongeau, Marcel | 1 |
| Ruocco, Anthony S. | 1 |
| Sankoff, David | 1 |
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Minker, Jack; And Others – 1972
The objectives of this paper are to describe the effect of using weighted index terms in a document retrieval system, and to evaluate retrieval performance when queries are expanded by terms occurring in clusters with the query terms. Three data collections, each indexed by several methods, two of which were studied and reported on in previous…
Descriptors: Classification, Cluster Analysis, Data Processing, Information Retrieval
Minker, Jack; And Others – Information Storage and Retrieval, 1972
An evaluation of graph theoretical clusters of index terms which can be extracted from an automatically indexed document collection, and the effects of employing such clusters in automatic document retrieval are described. (19 references) (Author)
Descriptors: Automatic Indexing, Cluster Analysis, Data Processing, Information Retrieval
Peer reviewedRuocco, Anthony S.; Frieder, Ophir – Journal of the American Society for Information Science, 1997
Proposes use of parallel computing systems to overcome the computationally intense clustering process. Results show some near linear speed up in higher threshold clustering applications, meeting the requirements to classify, group and process large document sets within nonprohibitive execution times. Includes graphs and charts. (JAK)
Descriptors: Access to Information, Classification, Cluster Analysis, Cluster Grouping
Peer reviewedMongeau, Marcel; Sankoff, David – Computers and the Humanities, 1990
Quantifies and confirms subjective impressions of similarity and differences in musical monophonic scores. Adapts concepts from sequence comparison theory and uses algorithms to define distances between any two melodies created by tone and rhythmic structure. Presents and applies a generalized algorithm for identifying locally similar portions in…
Descriptors: Algorithms, Cluster Analysis, Computer Uses in Education, Data Processing
Baltes, Kenneth G.; Hendrix, Vernon L. – 1978
Two recent developments in management information system technology and higher education administration have brought about the need for this study, designed to develop a methodology for revealing a relational model of the data base that administrators are operating from currently or would like to be able to operate from in the future.…
Descriptors: Classification, Cluster Analysis, College Administration, Data Analysis


