Consumption Capability Analysis for Micro-Blog Users Based on Data Mining

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Provided by: Academy & Industry Research Collaboration Center
Topic: Data Management
Format: PDF
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. The authors analyze user's spending ability quantitatively based on user's check-in actions. Compared with other clustering method, they choose DBSCAN clustering method of data mining to analyze the shop information and position.
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