Web data mining algorithm based on cloud computing environment. (2nd December 2021)
- Record Type:
- Journal Article
- Title:
- Web data mining algorithm based on cloud computing environment. (2nd December 2021)
- Main Title:
- Web data mining algorithm based on cloud computing environment
- Authors:
- Liu, Yunpeng
Gu, Xiaolong
Zhang, Jie - Abstract:
- The purpose of this article is to study web data mining algorithms in the cloud. In order to quickly extract valuable rules and patterns from massive and noisy data, and make them easy to understand and directly apply, we use data mining technology. On the other hand, based on the low cost of cloud computing, large throughput, good fault tolerance, and strong stability, the web chose the cloud computing method. This paper studies and analyses the K-Means clustering algorithm, and uses the web data mining algorithm based on the cloud computing environment to improve the K-Means algorithm, overcomes the shortcomings of the K-Means algorithm itself, and builds a good cloud computing environment. The research results show that the improved and optimised algorithm in this paper solves the problem of insufficient speed and efficiency in the clustering process.
- Is Part Of:
- International journal of grid and utility computing. Volume 12:Number 4(2021)
- Journal:
- International journal of grid and utility computing
- Issue:
- Volume 12:Number 4(2021)
- Issue Display:
- Volume 12, Issue 4 (2021)
- Year:
- 2021
- Volume:
- 12
- Issue:
- 4
- Issue Sort Value:
- 2021-0012-0004-0000
- Page Start:
- 359
- Page End:
- 368
- Publication Date:
- 2021-12-02
- Subjects:
- cloud computing -- data mining -- clustering algorithm -- k-means algorithm
Electronic data processing -- Distributed processing -- Periodicals
Electronic commerce -- Management -- Computer programs -- Periodicals
004.605 - Journal URLs:
- http://www.inderscience.com/ ↗
http://www.inderscience.com/jhome.php?jcode=ijguc ↗ - Languages:
- English
- ISSNs:
- 1741-847X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 17668.xml