An Efficient Model for Predicting Future Price of Agricultural Commodities using K-Nearest Neighbors Algorithm Compared with Support Vector Machine Algorithm-Reference-Cited by-同舟云学术

An Efficient Model for Predicting Future Price of Agricultural Commodities using K-Nearest Neighbors Algorithm Compared with Support Vector Machine Algorithm

Published:2022-10-20 Issue: Volume: Page:
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Container-title:2022 3rd International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Bandaia Kuruba¹,Gunasekaran M.¹

Affiliation:

1. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University,Department of Computer Science and Engineering,Chennai,Tamilnadu,India,602105

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951706/9951861/09952132.pdf?arnumber=9952132

Reference15 articles.

1. Problems in Agricultural Forecasting

2. SPAT IAL INT EGRATION OF AGRICULT URAL COMMODITY MARKETS – MET HODOLOGICAL PROBLEMS;hamulczuk;Problems of Agricultural Economy,2020

3. Applications Of Dynamic Programming To Agricultural Decision Problems

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