Title | ||
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Particle Swarm Optimization based incremental classifier design for rice disease prediction. |
Abstract | ||
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•A new Particle Swarm Optimization based incremental classifier is designed.•The classifier handles incremental data efficiently and maintains the system updated.•The method is useful for most of the real life applications deal with incremental data.•The method is applied in the field of agriculture and obtained satisfactory result.•Statistical measures are performed to assess the effectiveness of the method. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1016/j.compag.2017.06.024 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Data mining,Particle Swarm Optimization,Incremental data,Dynamic classifier,Rice disease | Particle swarm optimization,Data mining,Rule-based system,Margin (machine learning),Computer science,Association rule learning,Artificial intelligence,Statistical classification,Classifier (linguistics),Margin classifier,Machine learning,Quadratic classifier | Journal |
Volume | ISSN | Citations |
140 | 0168-1699 | 2 |
PageRank | References | Authors |
0.43 | 9 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shampa Sengupta | 1 | 14 | 1.59 |
Asit Kumar Das | 2 | 73 | 16.06 |