Name
Abstract | ||
|---|---|---|
•Genetic Algorithm is an effective scheme in determining data fusion weights.•Tuning Genetic Algorithm increases time efficiency.•Weight learning from only top ranked documents is useful.•Redundant runs can be removed based on correlation between scores. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.ipm.2014.12.002 | Information Processing & Management |
Keywords | Field | DocType |
Information retrieval,Data fusion,Linear combination,Genetic Algorithms | Data mining,Linear combination,Weighting,Ranking,Pattern recognition,Computer science,Sensor fusion,Correlation,Artificial intelligence,Mixture model,Genetic algorithm,Linear regression | Journal |
Volume | Issue | ISSN |
51 | 3 | 0306-4573 |
Citations | PageRank | References |
3 | 0.37 | 21 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kripabandhu Ghosh | 1 | 87 | 17.60 |
| Swapan K. Parui | 2 | 549 | 59.24 |
| Prasenjit Majumder | 3 | 173 | 25.15 |