R language consumption behavior statistics based on association rules and cluster analysis

《 Financial data mining case analysis 》
Course design report

topic Objective ： Consumption behavior statistics based on association rules and cluster analysis
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The student's name ： Serial number ：
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School of information engineering and computer
2020 year 06 month 3 Japan

Consumption behavior statistics based on association rules
pick want ：“ A double tenth ” The shopping Carnival has now become the annual event of China's e-commerce , With the gradual rise of e-commerce platform , The competition of the platform is becoming stronger and stronger , In order to better improve the platform and business profits , We decided to study data sets around platforms and shoppers . We identified the background and objectives , Understand the data and conduct detailed multi-dimensional analysis . Association rule analysis and cluster analysis are also carried out , Many practical situations have been found , And check the distribution of each category , Plot the results as a scatter plot .
Final , We summarize all the analyses and come to the conclusion , Apply the conclusion simulation to the real life scene , Purchase of products on the platform , Inventory , And personalized recommendation marketing have made relevant suggestions based on analysis . meanwhile , We also have a deeper understanding of the process and purpose of data mining and analysis .
key word ：R Language ; Association Rule Analysis ; Clustering analysis ; Scatter plot

Consumer Behavior Statistics Based on Association Rules and Cluster Analysis
Abstract: The “Double Eleven” shopping carnival has now become the annual festival of e-commerce in China. With the gradual rise of e-commerce platforms, the competition of the platforms has become s