posted on 2024-11-14, 09:14authored byQiang He, Xiaodong Zhu, Dongwei Li, Shuliang Wang, Jun ShenJun Shen, Yun Yang
Mining big data often requires tremendous computationalresources. This has become a major obstacle to broad applicationsof big data analytics. Cloud computing allows data scientists to access computationalresources on-demand for building their big data analytics solutions in the cloud.
History
Citation
He, Q., Zhu, X., Li, D., Wang, S., Shen, J. & Yang, Y. (2017). Cost-effective Big Data Mining in the Cloud: A Case Study with K-means. IEEE 10th International Conference on Cloud Computing 2017 (pp. 74-81). United States: IEEE.
Parent title
IEEE International Conference on Cloud Computing, CLOUD