Title
Particle Swarm Optimization based incremental classifier design for rice disease prediction.
Abstract
•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 Sengupta1141.59
Asit Kumar Das27316.06