{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T23:40:27Z","timestamp":1743118827230,"version":"3.40.3"},"publisher-location":"Cham","reference-count":10,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031287862"},{"type":"electronic","value":"9783031287879"}],"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\/978-3-031-28787-9_5","type":"book-chapter","created":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T11:03:09Z","timestamp":1679396589000},"page":"56-67","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Optimization of Data Query Method Based on Fuzzy Theory"],"prefix":"10.1007","author":[{"given":"Yunwei","family":"Li","sequence":"first","affiliation":[]},{"given":"Lei","family":"Ma","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,22]]},"reference":[{"issue":"15","key":"5_CR1","first-page":"177","volume":"44","author":"B Xu","year":"2021","unstructured":"Xu, B.: Massive incomplete data approximate query system based on improved K-nearest neighbor algorithm. Mod. Electron. Tech. 44(15), 177\u2013181 (2021)","journal-title":"Mod. Electron. Tech."},{"unstructured":"Teng, Z., Liao, Z.: Differentiated service mechanism for data query on named data networking. Comput. Eng. Appl. 55(9), 17\u201325+86 (2019)","key":"5_CR2"},{"issue":"8","key":"5_CR3","first-page":"381","volume":"38","author":"J Gao","year":"2021","unstructured":"Gao, J., Yang, F.: Semi-structured data query optimization algorithm based on swarm intelligence. Comput. Simul. 38(8), 381\u2013385 (2021)","journal-title":"Comput. Simul."},{"issue":"07","key":"5_CR4","first-page":"119","volume":"37","author":"J Lian","year":"2020","unstructured":"Lian, J., Fang, S., Zhou, Y.: Model predictive control of the fuel cell cathode system based on state quantity estimation. Comput. Simul. 37(07), 119\u2013122 (2020)","journal-title":"Comput. Simul."},{"issue":"5","key":"5_CR5","first-page":"2294","volume":"14","author":"J Su","year":"2020","unstructured":"Su, J., Xu, R., Yu, S., Wang, B., Wang, J.: Idle slots skipped mechanism based tag identification algorithm with enhanced collision detection. KSII Trans. Internet Inf. Syst. 14(5), 2294\u20132309 (2020)","journal-title":"KSII Trans. Internet Inf. Syst."},{"issue":"6","key":"5_CR6","first-page":"2735","volume":"14","author":"J Su","year":"2020","unstructured":"Su, J., Xu, R., Yu, S., et al.: Redundant rule detection for software-defined networking. KSII Trans. Internet Inf. Syst. 14(6), 2735\u20132751 (2020)","journal-title":"KSII Trans. Internet Inf. Syst."},{"issue":"08","key":"5_CR7","first-page":"1315","volume":"14","author":"Z Ma","year":"2020","unstructured":"Ma, Z., Yuan, H., Gu, Y., et al.: Research and implementation of document-relational data query execution technology. J. Front. Comput. Sci. Technol. 14(08), 1315\u20131326 (2020)","journal-title":"J. Front. Comput. Sci. Technol."},{"issue":"05","key":"5_CR8","first-page":"246","volume":"37","author":"W Yun","year":"2020","unstructured":"Yun, W.: Improved Simulation of Large-Scale Hybrid Network Database Fuzzy Query Algorithm. Computer Simulation 37(05), 246\u2013249 (2020)","journal-title":"Computer Simulation"},{"issue":"04","key":"5_CR9","first-page":"5","volume":"29","author":"S Lu","year":"2020","unstructured":"Lu, S., Chen, H.: A survey on data query optimization with machine learning. Wirel. Commun. Technol. 29(04), 5\u201310 (2020)","journal-title":"Wirel. Commun. Technol."},{"issue":"09","key":"5_CR10","first-page":"7","volume":"30","author":"Y Zhao","year":"2020","unstructured":"Zhao, Y., Hu, L.: Design of preference query system based on linked data in open environment. Comput. Technol. Dev. 30(09), 7\u201311 (2020)","journal-title":"Comput. Technol. Dev."}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Advanced Hybrid Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28787-9_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,21]],"date-time":"2023-03-21T11:09:50Z","timestamp":1679396990000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28787-9_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031287862","9783031287879"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28787-9_5","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"22 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADHIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Hybrid Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changsha","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":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adhip2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Confyplus.eai.eu","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"276","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":"109","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":"39% - 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":"3","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}