DocumentCode
584539
Title
Research on K-Means Algorithm Based on Cloud Computing
Author
Liu, Shuping ; Cheng, Yanliu
Author_Institution
North China Electr. Power Univ., Baoding, China
fYear
2012
fDate
11-13 Aug. 2012
Firstpage
1762
Lastpage
1765
Abstract
With the continuous advance of the smart grid, power enterprises accumulated massive data. In order to avoid the appearance of the data grave, data mining algorithms are used to do mining for massive data. However, if traditional mining algorithms are used to handle massive data, their processing performance encounters a bottleneck. The k-means algorithm based on cloud computing is implemented in this paper. And then the algorithm is compared with the traditional k-means algorithm. The results show that the k-means algorithm based on cloud computing is suitable for handling massive data.
Keywords
cloud computing; data handling; data mining; electricity supply industry; power engineering computing; smart power grids; cloud computing; data grave; data mining algorithms; massive data handling; parallel k-means algorithm; power enterprises; smart grid; Algorithm design and analysis; Cloud computing; Clustering algorithms; Computers; Data mining; Parallel processing; Smart grids; MapReduce parallel computing framework; cloud computing; parallel k-means algorithm; serial k-means algorithm; smart grid;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4673-0721-5
Type
conf
DOI
10.1109/CSSS.2012.440
Filename
6394759
Link To Document