{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T21:08:12Z","timestamp":1742936892483,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031366246"},{"type":"electronic","value":"9783031366253"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-36625-3_14","type":"book-chapter","created":{"date-parts":[[2023,7,7]],"date-time":"2023-07-07T12:02:36Z","timestamp":1688731356000},"page":"168-180","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on Location Selection of General Merchandise Store Based on Machine Learning"],"prefix":"10.1007","author":[{"given":"Boyu","family":"Lin","sequence":"first","affiliation":[]},{"given":"Feipeng","family":"Li","sequence":"additional","affiliation":[]},{"given":"Jiqiang","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Shengbing","family":"Xu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,7,8]]},"reference":[{"key":"14_CR1","volume-title":"The Selection of Retail Locations","author":"RL Nelson","year":"1958","unstructured":"Nelson, R.L.: The Selection of Retail Locations. Dodge (McGraw-Hill), New York (1958)"},{"issue":"4","key":"14_CR2","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1080\/02642069300000069","volume":"13","author":"L Moutinho","year":"1993","unstructured":"Moutinho, L., Curry, B., Davies, F.: Comparative computer approaches to multi-outlet retail site location decisions. Serv. Ind. J. 13(4), 201\u2013220 (1993)","journal-title":"Serv. Ind. J."},{"issue":"2","key":"14_CR3","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1016\/S0166-3615(01)00147-6","volume":"47","author":"RJ Kuo","year":"2002","unstructured":"Kuo, R.J., Chi, S.C., Kao, S.S.: A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network. Comput. Ind. 47(2), 199\u2013214 (2002). https:\/\/doi.org\/10.1016\/S0166-3615(01)00147-6","journal-title":"Comput. Ind."},{"key":"14_CR4","doi-asserted-by":"crossref","unstructured":"Karamshuk, D., Noulas, A., Scellato, S., et al.: Geo-spotting: mining online location-based services for optimal retail store placement. ACM (2013)","DOI":"10.1145\/2487575.2487616"},{"key":"14_CR5","first-page":"1","volume":"8","author":"A Sever","year":"2016","unstructured":"Sever, A.: A new efficient machine learning algorithm to solve facility location selection problem of geoinformatics. Curr. J. Appl. Sci. Technol. 8, 1\u201310 (2016)","journal-title":"Curr. J. Appl. Sci. Technol."},{"key":"14_CR6","doi-asserted-by":"crossref","unstructured":"Baumbach, S., Rubel, C., Ahmed, S., et al.: Geospatial customer, competitor and supplier analysis for site selection of supermarkets. In: Proceedings of the 2019 2nd International Conference on Geoinformatics and Data Analysis, pp. 110\u2013114 (2019)","DOI":"10.1145\/3318236.3318264"},{"key":"14_CR7","doi-asserted-by":"crossref","unstructured":"Xiao, D., Ye, W.: Combining GIS and the analytic hierarchy process to analyze location of hypermarket. In: IOP Conference Series: Earth and Environmental Science, vol. 2019, p. 032012. IOP Publishing (2019)","DOI":"10.1088\/1755-1315\/237\/3\/032012"},{"issue":"1","key":"14_CR8","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1080\/23754931.2020.1712555","volume":"6","author":"ET Rinc\u00f3n","year":"2020","unstructured":"Rinc\u00f3n, E.T., Tiwari, C.: Demand metric for supermarket site selection: a case study. Papers Appl. Geogr. 6(1), 19\u201334 (2020)","journal-title":"Papers Appl. Geogr."},{"key":"14_CR9","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.jbusres.2022.01.049","volume":"144","author":"S Han","year":"2022","unstructured":"Han, S., Jia, X., Chen, X., et al.: Search well and be wise: a machine learning approach to search for a profitable location. J. Bus. Res. 144, 416\u2013427 (2022)","journal-title":"J. Bus. Res."},{"issue":"15","key":"14_CR10","doi-asserted-by":"publisher","first-page":"3579","DOI":"10.3390\/rs14153579","volume":"14","author":"T Lan","year":"2022","unstructured":"Lan, T., Cheng, H., Wang, Y., et al.: Site Selection via learning graph convolutional neural networks: a case study of Singapore. Remote Sens. 14(15), 3579 (2022)","journal-title":"Remote Sens."}],"container-title":["Lecture Notes in Computer Science","Advances in Swarm Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-36625-3_14","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,13]],"date-time":"2024-03-13T15:28:56Z","timestamp":1710343736000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-36625-3_14"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031366246","9783031366253"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-36625-3_14","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"8 July 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICSI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Swarm Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Shenzhen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"swarm2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Easychair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"170","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"81","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"48% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.6","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}