Abstract
We investigate algorithms of database selection and evaluate their performance by modelling a distributed search system. The evaluation is done using a 10 gigabyte document collection divided into 857 document databases. We have also investigated various evaluation criteria and put forward a new metrics for evaluating database selection algorithms.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ACM Symposium on Applied Computing |
| Editors | G. Lamont |
| Pages | 817-822 |
| Number of pages | 6 |
| Publication status | Published - 2003 |
| Externally published | Yes |
| Event | Proceedings of the 2003 ACM Symposium on Applied Computing - Melbourne, FL Duration: 9 Mar 2003 → 12 Mar 2003 |
Other
| Other | Proceedings of the 2003 ACM Symposium on Applied Computing |
|---|---|
| City | Melbourne, FL |
| Period | 9/3/03 → 12/3/03 |
Keywords
- Database selection
- Distributed information retrieval
- Performance evaluation
ASJC Scopus subject areas
- Computer Science(all)
Cite this
Evaluating database selection algorithms for distributed search. / Sogrine, Mikhail; Patel, Ahmed.
Proceedings of the ACM Symposium on Applied Computing. ed. / G. Lamont. 2003. p. 817-822.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Evaluating database selection algorithms for distributed search
AU - Sogrine, Mikhail
AU - Patel, Ahmed
PY - 2003
Y1 - 2003
N2 - We investigate algorithms of database selection and evaluate their performance by modelling a distributed search system. The evaluation is done using a 10 gigabyte document collection divided into 857 document databases. We have also investigated various evaluation criteria and put forward a new metrics for evaluating database selection algorithms.
AB - We investigate algorithms of database selection and evaluate their performance by modelling a distributed search system. The evaluation is done using a 10 gigabyte document collection divided into 857 document databases. We have also investigated various evaluation criteria and put forward a new metrics for evaluating database selection algorithms.
KW - Database selection
KW - Distributed information retrieval
KW - Performance evaluation
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UR - http://www.scopus.com/inward/citedby.url?scp=0038336774&partnerID=8YFLogxK
M3 - Conference contribution
SP - 817
EP - 822
BT - Proceedings of the ACM Symposium on Applied Computing
A2 - Lamont, G.
ER -