HOW CAN WE OBTAIN MEANINGFUL INFORMATION FROM A BIG DATA POOL?

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HOW CAN WE OBTAIN MEANINGFUL INFORMATION FROM A BIG DATA POOL?

Journal Title: World Journal of Engineering Research and Technology - Year 2017, Vol 3, Issue 1

Abstract

The Data mining, sometimes called data or knowledge discovery is the process of analyzing data from different perspectives and summarizing it into useful information that can be used to increase revenue, cuts costs, or both. The Data mining is primarily used today by companies with a strong consumer focus - retail, financial, communication, and marketing organizations. It enables these companies to determine relationships among internal factors such as price, product positioning, or staff skills, and external factors such as economic indicators, competition, and customer demographics. And, it enables them to determine the impact on sales, customer satisfaction, and corporate profits. This paper includes some data mining techniques and its application areas in real world.

Authors and Affiliations

Murat Yazici

Keywords

Data mining Text mining Social Network Analysis Time series analysis Market basket analysis Outlier detection Cluster analysis Regression Analysis.

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EP ID EP657329
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