Open Access
| Issue |
ITM Web Conf.
Volume 32, 2020
International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|
|
|---|---|---|
| Article Number | 03034 | |
| Number of page(s) | 5 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20203203034 | |
| Published online | 29 July 2020 | |
- Understanding Machine Learning: From Theory to Algorithms By: Shai Shalev-Shwartz and Shai Ben-David, 2014. [Google Scholar]
- Rakesh Kumar, M.P. Singh, Prabhat Kumar. Crop Selection Method to Maximize Crop Yield Rate using MachineLearning Technique. ieeexplore.ieee.org/document, 2015. [Google Scholar]
- Kiran Shinde, Jerrin Andrei, Amey Oke : Web Based Recommendation System for Farmers, International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 volume: 3 issue: 3 1444-1448, 2015. [CrossRef] [Google Scholar]
- Vikas Kumar, Vishal Dave, Rahul Bhadauriya, Sanjay Chaudhary : KrishiMantra: Agricultural Recommendation System, Proceedings of the 3rd ACM Symposium on Computing for Development, 2013. [Google Scholar]
- Sung Hwan Min and Ingoo Han : Recommender Systems Using Support Vector Machines, Proceedings of the 5th international conference on Web Engineering, 2005. [Google Scholar]
- Pandiyan, O. El-Hassan, A. Hassan Khamis, and P.Rajasekaran, “Ontology with SVM based diagnosis of tuberculosis and statistical analysis”. International Journal of Medical and Health Sciences Research,2016 ,Vol. 3, No.3, pp.37-43, ISSN(e): 2313-2752, 10.18488/journal.9/2016.3.3/9.3.37.43, 2016 Asian Medical Journals, 2016. [Google Scholar]
- Bailey, T. Jain, A. “A note on distance-weighted k-Nearest Neighbors rules”, IEEE Trans. Systems, Man, Cybernetics, 8:311-313, 1978. [Google Scholar]
- Breese, J.S., Heckerman, D., and Kadie, C. : Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In: Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, 1998. [Google Scholar]
- Sadegh Bafandeh Imandoust And Mohammad Bolan-draftar :Application of K-Nearest Neighbor (KNN) Approach for Predicting Economic Events: Theoretical Background ,S B Imandoust et al. Int. Journal of Engineering Research and Applications Vol. 3, issue 5, pp.605-610, 2013. [Google Scholar]
- Gou, J., Du, L. Zhang, Y. & Xiong, T. quot;A New Distance-weighted k-nearest Neighbor Classifierquot;, Journal of Information & Computational Science, 9(6): 1429-1436, 2012. [Google Scholar]
- Hellman, M.E., quot; The nearest neighbor classification rule with a reject option quot;, IEEE Trans. Systems, Man, Cybernetics, 3: 179-185, 1970. [Google Scholar]
- Grcˇar M., Fortuna B., Mladenicˇ D., Grobelnik M. kNN Versus SVM in the Collaborative Filtering Framework. In: Batagelj V., Bock HH., Ferligoj A., Žiberna A. (eds) Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg, 2000. [Google Scholar]
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