SYSTEMATIC MAPPING STUDY OF BIG DATA MINING TOOLS AND TECHNIQUES

被引:0
作者
Kaur, Sarpreet [1 ]
Singh, Williamjeet [1 ]
机构
[1] Punjabi Univ, Dept Comp Engn, Patiala, Punjab, India
来源
2017 8TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING TECHNOLOGIES (ICCCNT) | 2017年
关键词
Big data mining; tools; techniques; application domains; systematic study; systematic mapping;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the inception of new era data has grown expeditiously not only in volume but also in variety. There is difficulty in analyzing such a big data. Big data mining has the ability of extracting useful information and hidden patterns from the large datasets or streams of data. The big data mining challenges are becoming stimulating opportunities for the coming years. Since the literature of big data mining has increased briskly in recent years, it becomes mandatory to develop an overview of the state-of-the-art. This systematic mapping study focuses on big data mining tools, techniques and application domains used in previous studies. The existing work is classified into different categories and is presented using visualizations.
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页数:7
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