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The Application Method of Machine Learning for Analyzing User Transaction Tendency in Big Data environments
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 Title & Authors
The Application Method of Machine Learning for Analyzing User Transaction Tendency in Big Data environments
Choi, Do-hyeon; Park, Jung-oh;
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 Abstract
Recently in the field of Big Data, there is a trend of collecting and reprocessing the existing data such as products having high interest of customers and past purchase details to be utilized for the analysis of transaction propensity of users(product recommendations, sales forecasts, etc). Studies related to the propensity of previous users has limitations on its range of subjects and investigation timing and difficult to make predictions on detailed products with lack of real-time thus there exists difficult disadvantages of introducing appropriate and quick sales strategy against the trend. This paper utilizes the machine learning algorithm application to analyze the transaction propensity of users. As a result of applying the machine learning algorithm, it has demonstrated that various indicators which can be deduced by detailed product were able to be extracted.
 Keywords
Big data;Machine Learning;Deep Learning;Tendency Analysis;Data Mining;
 Language
Korean
 Cited by
1.
The Analysis of the APT Prelude by Big Data Analytics, Journal of the Korea Institute of Information and Communication Engineering, 2016, 20, 6, 1129  crossref(new windwow)
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