K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata
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...
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Institute of Advanced Scientific Research
2018
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| 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 |
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| author | Md Shah, Wahidah Othman, Mohd Fairuz Iskandar Hussian Hassan, Ali Abdul Talib, Mohammed Saad Mohammed, Ali Abdul Jabbar |
| author_facet | Md Shah, Wahidah Othman, Mohd Fairuz Iskandar Hussian Hassan, Ali Abdul Talib, Mohammed Saad Mohammed, Ali Abdul Jabbar |
| author_sort | Md Shah, Wahidah |
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| collection | Institutional Repository |
| content_provider | Universiti Teknikal Malaysia Melaka |
| content_source | UTEM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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 Neighbor query and join
operation to find the distinct objects from different data sets.MapReduce is a newly introduced program with the combination of Map Procedure method and Reduce Method widely used in BigData.MapReduce is enriched with parallel distributed algorithm to find the results on a cluster of data sets in BigData.In this paper,the combination of KNN join and MapReduce methods are utilized on the cluster of data sets in BigData for knowledge discovery.Exploring the pinpoint data from huge data sets stored in Big Data demands the distributed large scale data processing.The present research paper is focusing on generic steps for KNN joins exploration operations on MapReduce.The operations of KNN Join are targeted to perform the data partitioning and data pre-processing and necessary calculations.By utilizing the combination of KNN joins with MapReduce methods on BigData data sets will demonstrate a solution for complex computational analysis. |
| format | Article |
| id | my.utem.eprints-21621 |
| institution | Universiti Teknikal Malaysia Melaka |
| language | en |
| publishDate | 2018 |
| publisher | Institute of Advanced Scientific Research |
| record_format | eprints |
| spelling | my.utem.eprints-216212021-08-16T16:23:23Z http://eprints.utem.edu.my/id/eprint/21621/ K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata Md Shah, Wahidah Othman, Mohd Fairuz Iskandar Hussian Hassan, Ali Abdul Talib, Mohammed Saad Mohammed, Ali Abdul Jabbar Q Science (General) QA Mathematics 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 Neighbor query and join operation to find the distinct objects from different data sets.MapReduce is a newly introduced program with the combination of Map Procedure method and Reduce Method widely used in BigData.MapReduce is enriched with parallel distributed algorithm to find the results on a cluster of data sets in BigData.In this paper,the combination of KNN join and MapReduce methods are utilized on the cluster of data sets in BigData for knowledge discovery.Exploring the pinpoint data from huge data sets stored in Big Data demands the distributed large scale data processing.The present research paper is focusing on generic steps for KNN joins exploration operations on MapReduce.The operations of KNN Join are targeted to perform the data partitioning and data pre-processing and necessary calculations.By utilizing the combination of KNN joins with MapReduce methods on BigData data sets will demonstrate a solution for complex computational analysis. Institute of Advanced Scientific Research 2018 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/21621/2/2018%20K%20Nearest%20Neighbor%20Joins%20and%20Mapreduce.pdf Md Shah, Wahidah and Othman, Mohd Fairuz Iskandar and Hussian Hassan, Ali Abdul and Talib, Mohammed Saad and Mohammed, Ali Abdul Jabbar (2018) K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata. Journal Of Adv Research In Dynamical & Control Systems, 10. pp. 690-696. ISSN 1943-023X https://www.researchgate.net/publication/325528226_K_Nearest_Neighbor_Joins_and_Mapreduce_Process_Enforcement_for_the_Cluster_of_Data_Sets_in_Bigdata |
| spellingShingle | Q Science (General) QA Mathematics Md Shah, Wahidah Othman, Mohd Fairuz Iskandar Hussian Hassan, Ali Abdul Talib, Mohammed Saad Mohammed, Ali Abdul Jabbar K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata |
| title | K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata |
| title_full | K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata |
| title_fullStr | K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata |
| title_full_unstemmed | K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata |
| title_short | K Nearest Neighbor Joins And Mapreduce Process Enforcement For The Cluster Of Data Sets In Bigdata |
| title_sort | k nearest neighbor joins and mapreduce process enforcement for the cluster of data sets in bigdata |
| topic | Q Science (General) QA Mathematics |
| url | 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 |
| url_provider | http://eprints.utem.edu.my/ |