Framework for analysis and improvement of data-fusion algorithms
The data-fusion techniques have been investigated by many researchers and have been used in implementing several information retrieval systems. Introducing a new or improved data-fusion algorithm is an active research area for the researchers' community. We propose a framework for analyses and...
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| Vydané v: | 2010 2nd IEEE International Conference on Information Management and Engineering s. 379 - 382 |
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| Hlavní autori: | , , |
| Médium: | Konferenčný príspevok.. |
| Jazyk: | English |
| Vydavateľské údaje: |
IEEE
01.04.2010
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| Predmet: | |
| ISBN: | 9781424452637, 1424452635 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | The data-fusion techniques have been investigated by many researchers and have been used in implementing several information retrieval systems. Introducing a new or improved data-fusion algorithm is an active research area for the researchers' community. We propose a framework for analyses and improvement of Data-fusion algorithms; this framework is going to be: First; a supportive tool for researchers when they are going to design a new Data-fusion algorithm by providing them with an extensive analysis and refinement for their new fusion algorithms, second; it can help researchers in understanding, analyzing, and improving existing Data-fusion algorithms. |
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| ISBN: | 9781424452637 1424452635 |
| DOI: | 10.1109/ICIME.2010.5478019 |

