{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T02:47:07Z","timestamp":1730256427233,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T00:00:00Z","timestamp":1670630400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,10]],"date-time":"2022-12-10T00:00:00Z","timestamp":1670630400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,10]]},"DOI":"10.1109\/icsai57119.2022.10005470","type":"proceedings-article","created":{"date-parts":[[2023,1,9]],"date-time":"2023-01-09T21:28:16Z","timestamp":1673299696000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Customer Portrait for Metrology Institutions Based on the Machine Learning Clustering Algorithm and the RFM Model"],"prefix":"10.1109","author":[{"given":"Xiaojing","family":"Zhang","sequence":"first","affiliation":[{"name":"National Institute of Metrology,Beijing,China,100029"}]},{"given":"Dongshuo","family":"Zhao","sequence":"additional","affiliation":[{"name":"National Institute of Metrology,Beijing,China,100029"}]},{"given":"Yaran","family":"Li","sequence":"additional","affiliation":[{"name":"National Institute of Metrology,Beijing,China,100029"}]},{"given":"Yudong","family":"Liu","sequence":"additional","affiliation":[{"name":"National Institute of Metrology,Beijing,China,100029"}]},{"given":"Gang","family":"Hu","sequence":"additional","affiliation":[{"name":"National Institute of Metrology,Beijing,China,100029"}]}],"member":"263","reference":[{"key":"ref1","first-page":"18","article-title":"Research on Hierarchical Service Model of Social Customers in Metrology Institutions","volume":"10","author":"Xue","year":"2019","journal-title":"Manage. Admin."},{"key":"ref2","first-page":"16","article-title":"Brief Talk of the Current Situation and Development of Domestic Metrology","volume":"6","author":"Zhang","year":"2016","journal-title":"Institut. Indus. Measu.r"},{"key":"ref3","first-page":"3","article-title":"Feature Engineering Method in Machine Learning","volume":"12","author":"Tang","year":"2020","journal-title":"Aut. Appl. Technol."},{"key":"ref4","first-page":"58","article-title":"Research on Evaluation System and Influencing Factors of Popular Books in University Library Based on Modified RFM Model","volume":"10","author":"Chen","year":"2020","journal-title":"Res. Lib. Sci."},{"key":"ref5","first-page":"14","article-title":"Modeling and Verification of Mall Member Portrait Based on RFM Mode","volume":"31","author":"Li","year":"2019","journal-title":"J. Zhengzhou. Railway. Vocat. Tech. Coll."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-200737"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1504\/IJES.2021.111976"},{"key":"ref8","first-page":"86","article-title":"Analysis and Research on Students\u2019 Behavior Based on Comprehensive Data of Colleges and Universities Under the Background of K-means and DBSCAN Clustering","volume":"32","author":"Tian","year":"2020","journal-title":"Algor. Sci. Tech. Innov."},{"key":"ref9","first-page":"66","article-title":"Research on Data Mining and Customer Segmentation Based on K-means Algorithm","volume":"11","author":"Ma","year":"2019","journal-title":"Stat. Longitud. Latitud."},{"key":"ref10","first-page":"83","article-title":"Research on User Information Clustering and Prediction Based on K-means and Neural Network Machine Learning Algorithm","volume":"7","author":"Zhu","year":"2021","journal-title":"Inform. Sci."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-019-00783-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2018.08.028"},{"key":"ref13","first-page":"85","article-title":"Data analysis based on KMeans clustering algorithm","volume":"23","author":"Shao","year":"2021","journal-title":"Sci. Techn. Innov."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-015-1433-9"},{"key":"ref15","first-page":"211","article-title":"Research on Renewal Intention of Auto Insurance Customers Based on Machine Learning Algorithm","volume":"10","author":"Li","year":"2021","journal-title":"CAAI. Trans. Intell. Techn."},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s13321-016-0114-x"},{"key":"ref17","first-page":"12","article-title":"Improvement of CRM using Data Mining: A Case study at Corporate Telecom Sector","volume":"178","author":"Sanjib","year":"2019","journal-title":"Int. J. Comput. Appl."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICSAI53574.2021.9664213"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-89698-0_49"},{"key":"ref20","first-page":"471","volume-title":"Discussion on improving the receiving efficiency and quality of measuring instruments. China Metrology","volume":"89","author":"Liu","year":"2022"}],"event":{"name":"2022 8th International Conference on Systems and Informatics (ICSAI)","start":{"date-parts":[[2022,12,10]]},"location":"Kunming, China","end":{"date-parts":[[2022,12,12]]}},"container-title":["2022 8th International Conference on Systems and Informatics (ICSAI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10005314\/10005319\/10005470.pdf?arnumber=10005470","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T09:25:04Z","timestamp":1707470704000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10005470\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,10]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icsai57119.2022.10005470","relation":{},"subject":[],"published":{"date-parts":[[2022,12,10]]}}}