Authors: Jiang-yi Du; Fu-ling Bian
Addresses: State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China; School of Computer Science, Hubei University of Technology, Wuhan, 430068, China ' State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China; International School of Software, Wuhan University, Wuhan, 430079, China
Abstract: The discovery of meaningful knowledge with high level of applicability in decision making relies on the maxim of efficient information management and analysis mechanism. Since organisations are functioning in a global scenario with exponentially high data management challenges, it is an imperative for them to adapt to the emerging paradigm of 'big data processing technology'. In the recent decade, the concept of 'big data mining' has acquired greater momentum due to its credible aspects such as cloud hosting, highly indexed and optimised data structures, automatic archival and extraction capabilities, and reporting interfaces. There exists a conspicuous difference between the 'conventional data mining' and 'big data mining'. This paper is an illustration of the advancement of the 'big data mining' and its application in various contexts. The authors of this article narrate on typical data mining algorithm and in-specific the 'parallel implementation of the algorithms'. The paper also analyses the architecture of big data mining system and the framework of big data mining platform based on cloud computing, which has provided reference to the users' cognition and application of big data mining.
Keywords: big data; data mining; cloud computing.
International Journal of Information and Communication Technology, 2019 Vol.15 No.3, pp.317 - 329
Available online: 11 Oct 2019 *Full-text access for editors Access for subscribers Purchase this article Comment on this article