{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T17:25:49Z","timestamp":1772385949395,"version":"3.50.1"},"reference-count":0,"publisher":"Tsinghua University Press","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Big Data Min. Anal."],"published-print":{"date-parts":[[2021,9]]},"DOI":"10.26599\/bdma.2021.9020001","type":"journal-article","created":{"date-parts":[[2021,5,12]],"date-time":"2021-05-12T19:49:57Z","timestamp":1620848997000},"page":"183-194","source":"Crossref","is-referenced-by-count":45,"title":["Effective density-based clustering algorithms for incomplete data"],"prefix":"10.26599","volume":"4","author":[{"given":"Zhonghao","family":"Xue","sequence":"first","affiliation":[{"name":"USC Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90007, USA"}]},{"given":"Hongzhi","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Harbin Institute of Technology, Harbin 150001, China"}]}],"member":"11138","container-title":["Big Data Mining and Analytics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8254253\/9430128\/09430134.pdf?arnumber=9430134","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,5]],"date-time":"2024-03-05T19:23:50Z","timestamp":1709666630000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9430134\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9]]},"references-count":0,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.26599\/bdma.2021.9020001","relation":{},"ISSN":["2096-0654","2097-406X"],"issn-type":[{"value":"2096-0654","type":"print"},{"value":"2097-406X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,9]]}}}