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| Content Provider | ACM Digital Library |
|---|---|
| Author | Salton, G. Wong, A. |
| Copyright Year | 1978 |
| Abstract | A classified, or clustered file is one where related, or similar records are grouped into classes, or clusters of items in such a way that all items within a cluster are jointly retrievable. Clustered files are easily adapted to broad and narrow search strategies, and simple file updating methods are available. An inexpensive file clustering method applicable to large files is given together with appropriate file search methods. An abstract model is then introduced to predict the retrieval effectiveness of various search methods in a clustered file environment. Experimental evidence is included to test the versatility of the model and to demonstrate the role of various parameters in the cluster search process. |
| Starting Page | 321 |
| Ending Page | 346 |
| Page Count | 26 |
| File Format | |
| ISSN | 03625915 |
| e-ISSN | 15574644 |
| DOI | 10.1145/320289.320291 |
| Volume Number | 3 |
| Issue Number | 4 |
| Journal | ACM Transactions on Database Systems (TODS) |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 1978-12-01 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Automatic classification Cluster searching Clustered files Fast classification File organization Probabilistic models |
| Content Type | Text |
| Resource Type | Article |
| Subject | Information Systems |
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