DATA MINING FOR BIG DATA
Published 2015 · Xindong Wu, Xingquan Zhu, Gongqing Wu
International Journal of Advance Research and Innovative Ideas in Education
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Abstract
Big data" is pervasive, and yet still the notion engenders confusion. Big data has been used to convey all sorts of concepts, including: huge quantities of data, social media analytics, next generation data management capabilities, real-time data, and much more. Whatever the label, organizations are starting to understand and explore how to process and analyze a vast array of information in new ways. Big data is the term for a collection of data sets which are large and complex, it contain structured and unstructured both type of data. Data comes from everywhere, sensors used to gather climate information, posts to social media sites, digital pictures and videos etc This data is known as big data. Useful data can be extracted from this big data with the help of data mining. Data mining is a technique for discovering interesting patterns as well as descriptive, understandable models from large scale data. In this paper we overviewed types of big data and challenges in big data for future.