Application progress on data mining in field of fishery production.
Hu Jing, Yang Ning-sheng, Ouyang Haiying, Sun Yingze, Baisong Chen · 2013
Fishery is in the period of rapid development with large accumulation of fisheries production data in China.How to effectively analyze these data and find the knowledge behind becomes an important topic for present study.Data mining is helpful to dig out potential law and knowledge from huge amounts of data.This paper introduces neural networks,decision trees and clustering etc.common data mining methods,and reviews the internal and external application progress in the fields of fishery production factors and fishery production process.The paper also prospects the development direction of this technology in fishery production.Under the premise of relatively matured development of informatization in fishery industry,data mining technology might be applied to various links of fishery production and provide effective decision support for its development.