Big Data Mining

Author(s):  
N. G. Bhuvaneswari Amma

Big data is a term used to describe very large amount of structured, semi-structured and unstructured data that is difficult to process using the traditional processing techniques. It is now expanding in all science and engineering domains. The key attributes of big data are volume, velocity, variety, validity, veracity, value, and visibility. In today's world, everyone is using social networking applications like Facebook, Twitter, YouTube, etc. These applications allow the users to create the contents for free of cost and it becomes huge volume of web data. These data are important in the competitive business world for making decisions. In this context, big data mining plays a major role which is different from the traditional data mining. The process of extracting useful information from large datasets or streams of data, due to its volume, velocity, variety, validity, veracity, value and visibility is termed as Big Data Mining.

Author(s):  
Feng Ye ◽  
Zhi-Jian Wang ◽  
Fa-Chao Zhou ◽  
Ya-Pu Wang ◽  
Yuan-Chao Zhou
Keyword(s):  
Big Data ◽  

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