Study of big data mining based on cloud computing
by Jiang-yi Du; Fu-ling Bian
International Journal of Information and Communication Technology (IJICT), Vol. 15, No. 3, 2019

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.

Online publication date: Mon, 14-Oct-2019

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