Title :
Research on K-Means Algorithm Based on Cloud Computing
Author :
Liu, Shuping ; Cheng, Yanliu
Author_Institution :
North China Electr. Power Univ., Baoding, China
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;
Conference_Titel :
Computer Science & Service System (CSSS), 2012 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-0721-5
DOI :
10.1109/CSSS.2012.440