The purpose of this paper is to explore how intelligent data mining technology can be used to improve the customer service capability of commercial companies. Based on extensive research on commercial business, this paper uses data mining and machine learning techniques to build an overall framework for applying intelligent technologies to business improvement, and uses multilayer perceptrons and integrated learning algorithms to build classifiers for customer segmentation; uses association rule mining to assist commercial companies in business decisions; uses clustering algorithms and visualization techniques to further analyze claims cases and assist in commercial fraud detection. The multilayer perceptron classification makes the classification of commercial customers more detailed and reasonable, and the company's business staff can sell products in a more targeted manner; association rule mining greatly improves the quality and efficiency of the company's management's decision making.
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Changchun Univ Chinese Med, Coll Basic Med, Changchun 130117, Peoples R ChinaChangchun Univ Chinese Med, Coll Basic Med, Changchun 130117, Peoples R China
Xing, Tianye
Wang, Yidan
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Changchun Univ Technol, Coll Humanities 8 Informat, Dept Informat Engn, Changchun 130122, Peoples R ChinaChangchun Univ Chinese Med, Coll Basic Med, Changchun 130117, Peoples R China
Wang, Yidan
Liu, Yingxue
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Monash Univ, Dept Civil Engn, Wellington Rd, Clayton, Vic 3800, AustraliaChangchun Univ Chinese Med, Coll Basic Med, Changchun 130117, Peoples R China
Liu, Yingxue
Wu, Qi
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Shangfan Sch Culture & Arts Co Ltd, Tiedong 136099, Jilin Siping, Peoples R ChinaChangchun Univ Chinese Med, Coll Basic Med, Changchun 130117, Peoples R China
Wu, Qi
Ma, Rong
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Baoding Surveying & Mapping Ctr House, Baoding Diangu Technol Ctr, 3-B-403, Baoding, Hebei, Peoples R ChinaChangchun Univ Chinese Med, Coll Basic Med, Changchun 130117, Peoples R China
Ma, Rong
Shang, Xiaoling
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Changchun Univ Chinese Med, Coll Basic Med, Changchun 130117, Peoples R ChinaChangchun Univ Chinese Med, Coll Basic Med, Changchun 130117, Peoples R China
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Jinjiang Municipal Hosp, Dept Cardiol, Jinjiang 362200, Fujian, Peoples R ChinaJinjiang Municipal Hosp, Dept Cardiol, Jinjiang 362200, Fujian, Peoples R China
Zhang, Dengqing
Chen, Yuxuan
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Xiamen Univ, Sch Informat, Xiamen 361000, Fujian, Peoples R ChinaJinjiang Municipal Hosp, Dept Cardiol, Jinjiang 362200, Fujian, Peoples R China
Chen, Yuxuan
Chen, Yunyi
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Xiamen Univ, Sch Informat, Xiamen 361000, Fujian, Peoples R ChinaJinjiang Municipal Hosp, Dept Cardiol, Jinjiang 362200, Fujian, Peoples R China
Chen, Yunyi
Ye, Shengyi
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Jinjiang Municipal Hosp, Dept Cardiol, Jinjiang 362200, Fujian, Peoples R ChinaJinjiang Municipal Hosp, Dept Cardiol, Jinjiang 362200, Fujian, Peoples R China
Ye, Shengyi
Cai, Wenyu
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Jinjiang Municipal Hosp, Dept Cardiol, Jinjiang 362200, Fujian, Peoples R ChinaJinjiang Municipal Hosp, Dept Cardiol, Jinjiang 362200, Fujian, Peoples R China
Cai, Wenyu
Chen, Ming
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Jinjiang Municipal Hosp, Dept Publ Hlth, Jinjiang 362200, Fujian, Peoples R ChinaJinjiang Municipal Hosp, Dept Cardiol, Jinjiang 362200, Fujian, Peoples R China