K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata

• Main Authors: Md Shah, Wahidah, Othman, Mohd Fairuz Iskandar, Hussian Hassan, Ali Abdul, Talib, Mohammed Saad, Mohammed, Ali Abdul Jabbar
• Format: Article
• Language: English
• Published: Institute of Advanced Scientific Research 2018
• Subjects: Q Science (General); QA Mathematics
• Online Access: http://eprints.utem.edu.my/id/eprint/21621/2/2018%20K%20Nearest%20Neighbor%20Joins%20and%20Mapreduce.pdf; http://eprints.utem.edu.my/id/eprint/21621/; https://www.researchgate.net/publication/325528226_K_Nearest_Neighbor_Joins_and_Mapreduce_Process_Enforcement_for_the_Cluster_of_Data_Sets_in_Bigdata
• Institution: Universiti Teknikal Malaysia Melaka

K Nearest Neighbor Joins (KNN join) are regarded as highly primitive and expensive operations in the data mining.The efficient use of KNN join has proven good results in finding the objects from two data sets prevailed in the huge databases.This has been achieved with the combination of K-Nearest Ne...