From Statistics to Data Mining: A Brief Review

With the popularity of the Internet and the development of information technology, hundreds of millions of information and data that are so close to our human kind are recorded. In recent decades, as an interdisciplinary, data science has had a vigorous development. This paper mainly discusses two core problems in data science, that are data analysis and data mining. Beginning with the data analysis based on statistics, this paper discusses and reviews data mining based on traditional machine learning and that based on neural network. Then it discusses the common problems in data mining. Each part summarizes the corresponding application and research. Through the discussion of the basic contents in data analysis and data mining, this paper provides a powerful help for the future research in this field.