面向电商用户的日志分析系统任务书

 2021-10-19 22:39:40

1. 毕业设计（论文）的内容和要求

近年来，随着电商的高速发展，网购已经成为人们日常生活中重要的一部分。

电商网站每天都会产生大量的日志文件。

尤其是在2019年天猫双十一，总成交额达到2684亿元人民币，京东2044亿元人民币，当天产生的用数据也瞬间达到PB级别。

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2. 参考文献

[1] Sanjay Ghemawat, Howard Gobioff, and Shun-Tak LeungThe Google File System[J].Google 2003[2] Fay Chang, Jeffrey Dean, Sanjay Ghemawat, Wilson C. Hsieh, Deborah A. Wallach Mike Burrows, Tushar Chandra, Andrew Fikes, Robert E. Gruber，Bigtable: A Distributed Storage System for Structured Data [J].Google 2006[3] Jeffrey Dean and Sanjay Ghemawat MapReduce: Simplified Data Processing on Large Clusters[J].google 2004[4] 赵东昕,基于HADOOP的电商实时用户行为分析系统[D].上海交通大学2016[5] 宋莹，沈奇威，王晶，基于Hadoop的Web日志预处理的设计与实现[J].北京邮电大学网络与交换技术国家重点实验室，东信北邮信息技术有限公司，2011[6] 于光华，辛明远，王丽红，夏魁良，基于Hadoop的用户行为数据分析系统的设计[J].黑河学院计算机与信息工程学院，2017[7] 陆杰，李丰，李炼，分布式系统中的日志分析及应用[J].2017中国科学院大学[8] Kim Y, Peterson R A. A Meta-analysis of Online Trust Relationships in E-commerce[J]. Journal of Interactive Marketing, 2017, 38: 44-54.[9] Cai L, He X, Dai Y, et al. Research on B2B2C E-commerce Website Design Based on User Experience[C]//Journal of Physics: Conference Series. IOP Publishing, 2018, 1087(6): 062043.[10] Pappas I O, Kourouthanassis P E, Giannakos M N, et al. The interplay of online shopping motivations and experiential factors on personalized e-commerce: A complexity theory approach[J]. Telematics and Informatics, 2017, 34(5): 730-742.[11] Weng H, Li Z, Ji S, et al. Online e-commerce fraud: a large-scale detection and analysis[C]//2018 IEEE 34th International Conference on Data Engineering (ICDE). IEEE, 2018: 1435-1440.[12] Sulastini S, Fedorko I, Bak R, et al. An analysis of online consumer shopping behaviour[J]. Polish Journal of management studies, 2018, 18(2).[13] Martn S S, Camarero C, Jos R S. Does involvement matter in online shopping satisfaction and trust?[J]. Psychology Marketing, 2011, 28(2): 145-167.[14] Poggi N, Muthusamy V, Carrera D, et al. Business process mining from e-commerce web logs[M]//Business process management. Springer, Berlin, Heidelberg, 2013: 65-80.[15] Sisodia D S, Verma S. Web usage pattern analysis through web logs: A review[C]//2012 Ninth International Conference on Computer Science and Software Engineering (JCSSE). IEEE, 2012: 49-53.[16] Suguna S, Vithya M, Eunaicy J I C. Big data analysis in e-commerce system using HadoopMapReduce[C]//2016 International Conference on Inventive Computation Technologies (ICICT). IEEE, 2016, 2: 1-6.

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