Literature Analysis of Big Data Information Mining and Clustering
Exploring the Challenges and Solutions in Big Data Clustering
Keywords:
Big Data, information mining, clustering, data storage, data redundancyAbstract
Big Data mining can be the ability of removing useful info from these large datasets or channels of data that credited to its quantity, variability, and speed, it was not really feasible before to perform it. The Big Data problem is certainly getting one of the most fascinating possibilities for arriving years. A crucial issue in big data storage is normally, cluster duplication at huge weighing scales. Therefore, data routing turns into a essential concern in cluster duplication to focus data redundancy within specific nodes, decrease cross-node redundancy and stability weight. Therefore, this paper presents the summary of big data clustering.Published
2019-06-01
How to Cite
[1]
“Literature Analysis of Big Data Information Mining and Clustering: Exploring the Challenges and Solutions in Big Data Clustering”, JASRAE, vol. 16, no. 9, pp. 552–554, Jun. 2019, Accessed: Sep. 20, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/12259
Issue
Section
Articles
How to Cite
[1]
“Literature Analysis of Big Data Information Mining and Clustering: Exploring the Challenges and Solutions in Big Data Clustering”, JASRAE, vol. 16, no. 9, pp. 552–554, Jun. 2019, Accessed: Sep. 20, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/12259