Name
Abstract | ||
|---|---|---|
We present performance measurement results for a parallel SQL based information retrieval system implemented on a PC cluster system. We used the Web-TREC dataset under a left-deep query execution plan. We achieved satisfactory speed up. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1145/383952.384064 | SIGIR |
Keywords | Field | DocType |
left-deep query execution plan,query optimization,information retrieval system,web-trec dataset,pc cluster system,present performance measurement result,vector space problem,satisfactory speed,parallel sql,automatic summarization,vector space,text summarization,hidden markov models | Query optimization,SQL,Data mining,Automatic summarization,Query language,Information retrieval,Query expansion,Computer science,Sargable,Hidden Markov model,Speedup | Conference |
ISBN | Citations | PageRank |
1-58113-331-6 | 3 | 0.45 |
References | Authors | |
4 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| K. Goda | 1 | 3 | 0.45 |
| T. Tamura | 2 | 3 | 0.45 |
| M. Kitsuregawa | 3 | 61 | 26.19 |
| Abdur Chowdhury | 4 | 2013 | 160.59 |
| O. Frieder | 5 | 124 | 8.40 |