{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T08:08:30Z","timestamp":1767168510455,"version":"build-2238731810"},"reference-count":30,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T00:00:00Z","timestamp":1623888000000},"content-version":"vor","delay-in-days":167,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>With the rapid development of e\u2010commerce industry, online shopping has become a craze. With the rapid growth of transaction volume on e\u2010commerce platforms, a large amount of transaction data has been accumulated. From the transaction information of these users, a lot of very valuable information can be mined, such as the defects of products and the actual needs of users. In view of the existing e\u2010commerce transaction information collection method is not mature, in this paper, the electric business platform system architecture planning and design increases the function management module. In this paper, a new Naive Bayes model is established by using HBase distributed database instead of traditional database. Based on the optimization and extraction of the important transaction information in the product, the dataset of e\u2010commerce transaction information is updated. Through the efficiency test of the collection method, the information scalability ability test, and the accuracy test, the important context was sorted out after integration, the sources of trading information were sorted out, and the data analysis of the collected information was conducted to optimize the information collection method and verify the feasibility of the method.<\/jats:p>","DOI":"10.1155\/2021\/8665621","type":"journal-article","created":{"date-parts":[[2021,6,17]],"date-time":"2021-06-17T14:05:06Z","timestamp":1623938706000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["[Retracted] Big Data\u2010Based E\u2010Commerce Transaction Information Collection Method"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9711-4156","authenticated-orcid":false,"given":"Bingwen","family":"Yan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6101-608X","authenticated-orcid":false,"given":"Chunqiong","family":"Wu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6306-9721","authenticated-orcid":false,"given":"Rongrui","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Baoqin","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Nafang","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Xiukao","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Yanliang","family":"Yu","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,6,17]]},"reference":[{"key":"e_1_2_7_1_2","doi-asserted-by":"publisher","DOI":"10.15547\/tjs.2015.s.01.070"},{"key":"e_1_2_7_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.indmarman.2019.10.009"},{"key":"e_1_2_7_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-016-2342-x"},{"key":"e_1_2_7_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12525-016-0219-0"},{"key":"e_1_2_7_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-016-2296-z"},{"key":"e_1_2_7_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.im.2016.06.003"},{"key":"e_1_2_7_7_2","first-page":"183","article-title":"An intelligent approach to design of e-Commerce metasearch and ranking system using next-generation big data analytics","volume":"3","author":"Malhotra D.","year":"2018","journal-title":"Journal of King Saud University-Computer and Information Sciences"},{"key":"e_1_2_7_8_2","doi-asserted-by":"publisher","DOI":"10.17705\/1jais.00423"},{"key":"e_1_2_7_9_2","article-title":"High performance computation of big data: performance optimization approach towards a parallel frequent item set mining algorithm for transaction data based on hadoop MapReduce framework","volume":"9","author":"Nagesh H. R.","year":"2017","journal-title":"International Journal of Intelligent Systems and Applications"},{"key":"e_1_2_7_10_2","first-page":"1","article-title":"Big data analysis in e-commerce system using hadoop map reduce,2016 international conference on inventive computation technologies (ICICT)","volume":"2","author":"Suguna S.","year":"2016","journal-title":"IEEE"},{"key":"e_1_2_7_11_2","unstructured":"WangJ. YangS. andWangY. The crawling and analysis of agricultural products big data based on jsoup Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) October 2015 Jinan Shandong China IEEE 1197\u20131202."},{"key":"e_1_2_7_12_2","doi-asserted-by":"publisher","DOI":"10.3390\/su12083381"},{"key":"e_1_2_7_13_2","article-title":"Establishment of cross-border e-commerce credit evaluation system based on big data","volume":"24","author":"Tao Y.","year":"2016","journal-title":"Management & Engineering"},{"key":"e_1_2_7_14_2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1395\/1\/012011"},{"key":"e_1_2_7_15_2","doi-asserted-by":"publisher","DOI":"10.13169\/worlrevipoliecon.8.2.0138"},{"key":"e_1_2_7_16_2","doi-asserted-by":"crossref","unstructured":"ZhaoX. A study on e-commerce recommender system based on big data Proceedings of the 2019 IEEE 4th International Conference on Cloud Computing and Big Data Analysis (ICCCBDA) April 2019 Chengdu China IEEE 222\u2013226.","DOI":"10.1109\/ICCCBDA.2019.8725694"},{"key":"e_1_2_7_17_2","doi-asserted-by":"crossref","unstructured":"AhmadS. SinghP. andSagarA. K. A survey on big data analytics Proceedings of the International Conference on Advances in Computing Communication Control and Networking\u2013ICACCCN October 2018 Noida India IEEE 256\u2013260.","DOI":"10.1109\/ICACCCN.2018.8748774"},{"key":"e_1_2_7_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2017.2733001"},{"key":"e_1_2_7_19_2","volume-title":"Big Data Analytics: Applications, Prospects and Challenges, Mobile Big Data","author":"Vassakis K.","year":"2018"},{"key":"e_1_2_7_20_2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1757\/1\/012135"},{"key":"e_1_2_7_21_2","doi-asserted-by":"crossref","unstructured":"XuH. LiK. andFanG. Novel model of e-commerce marketing based on big data analysis and processing Proceedings of the 2017 International Conference on Computer Network Electronic and Automation (ICCNEA) September 2017 Xi\u2019an China IEEE 80\u201384.","DOI":"10.1109\/ICCNEA.2017.51"},{"key":"e_1_2_7_22_2","doi-asserted-by":"publisher","DOI":"10.3390\/sym12050739"},{"key":"e_1_2_7_23_2","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2021.1912440"},{"key":"e_1_2_7_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aml.2021.107417"},{"key":"e_1_2_7_25_2","doi-asserted-by":"publisher","DOI":"10.3390\/electronics9010130"},{"key":"e_1_2_7_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105240"},{"key":"e_1_2_7_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.enbuild.2020.110261"},{"key":"e_1_2_7_28_2","first-page":"1","article-title":"Venue topic model\u2013enhanced joint graph modelling for citation recommendation in scholarly big data","volume":"20","author":"Wang W.","year":"2020","journal-title":"ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)"},{"key":"e_1_2_7_29_2","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2020.011485"},{"key":"e_1_2_7_30_2","doi-asserted-by":"publisher","DOI":"10.32604\/iasc.2020.013935"}],"updated-by":[{"DOI":"10.1155\/2023\/9794328","type":"retraction","label":"Retraction","source":"retraction-watch","updated":{"date-parts":[[2023,8,16]],"date-time":"2023-08-16T00:00:00Z","timestamp":1692144000000},"record-id":"50800"},{"DOI":"10.1155\/2023\/9794328","type":"retraction","label":"Retraction","source":"publisher","updated":{"date-parts":[[2023,8,16]],"date-time":"2023-08-16T00:00:00Z","timestamp":1692144000000}}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/8665621.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2021\/8665621.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/8665621","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T18:59:59Z","timestamp":1723229999000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/8665621"}},"subtitle":[],"editor":[{"given":"Zhihan","family":"Lv","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":30,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/8665621"],"URL":"https:\/\/doi.org\/10.1155\/2021\/8665621","archive":["Portico"],"relation":{},"ISSN":["1076-2787","1099-0526"],"issn-type":[{"value":"1076-2787","type":"print"},{"value":"1099-0526","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-04-29","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-11","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-06-17","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"8665621"}}