Consumption capability analysis for Micro-blog users based on data mining
Yue Sun · International Journal of Artificial Intelligence & Applications · 2013
Data mining is an effective method of discovering useful information in a large amount of data.The capability of understanding the user's consumption is vital for a company.Discovering the significant customers allows the company to focus on the most valuable customers.This paper uses micro-blog users' check-in data and shop information for analysis and cluster method of data mining.We analyze user's spending ability quantitatively based on user's check-in actions.Compared with other clustering method, we choose DBSCAN clustering method of data mining to analyze the shop information and position.Users are divided into different categories according to their spending power.Discovering the users with high consumption level in large amounts of data, which is significant for a firm, can help the firm develop better strategies.