{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T17:25:14Z","timestamp":1772040314224,"version":"3.50.1"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031178009","type":"print"},{"value":"9783031178016","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-17801-6_2","type":"book-chapter","created":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T21:03:54Z","timestamp":1664485434000},"page":"13-22","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Causal Transfer Evidential Clustering"],"prefix":"10.1007","author":[{"given":"Kuang","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Ming","family":"Jiang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,30]]},"reference":[{"key":"2_CR1","doi-asserted-by":"publisher","unstructured":"Beinlich, I.A., Suermondt, H.J., Chavez, R.M., Cooper, G.F.: The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks. In: Hunter, J., Cookson, J., Wyatt, J. (eds.) AIME 89. Lecture Notes in Medical Informatics, vol. 38, pp. 247\u2013256. Springer (1989). https:\/\/doi.org\/10.1007\/978-3-642-93437-7_28","DOI":"10.1007\/978-3-642-93437-7_28"},{"key":"2_CR2","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1007\/978-3-319-49046-5_3","volume-title":"Integrated Uncertainty in Knowledge Modelling and Decision Making","author":"T Den\u0153ux","year":"2016","unstructured":"Den\u0153ux, T., Kanjanatarakul, O.: Evidential clustering: a review. In: Huynh, V.-N., Inuiguchi, M., Le, B., Le, B.N., Denoeux, T. (eds.) IUKM 2016. LNCS (LNAI), vol. 9978, pp. 24\u201335. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-49046-5_3"},{"issue":"5","key":"2_CR3","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1109\/TCYB.2016.2539338","volume":"47","author":"T Gao","year":"2016","unstructured":"Gao, T., Ji, Q.: Efficient Markov blanket discovery and its application. IEEE Trans. Cybern. 47(5), 1169\u20131179 (2016)","journal-title":"IEEE Trans. Cybern."},{"key":"2_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107383","volume":"110","author":"Y He","year":"2021","unstructured":"He, Y., Shen, Z., Cui, P.: Towards non-iid image classification: a dataset and baselines. Pattern Recogn. 110, 107383 (2021)","journal-title":"Pattern Recogn."},{"issue":"3","key":"2_CR5","doi-asserted-by":"publisher","first-page":"551","DOI":"10.1007\/s10115-017-1059-8","volume":"53","author":"Y Li","year":"2017","unstructured":"Li, Y., Li, T., Liu, H.: Recent advances in feature selection and its applications. Knowl. Inf. Syst. 53(3), 551\u2013577 (2017)","journal-title":"Knowl. Inf. Syst."},{"issue":"10","key":"2_CR6","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"SJ Pan","year":"2009","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Trans. Knowl. Data Eng. 22(10), 1345\u20131359 (2009)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"2_CR7","volume-title":"Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference","author":"J Pearl","year":"2014","unstructured":"Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Elsevier, Amsterdam (2014)"},{"issue":"2","key":"2_CR8","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/s41060-016-0032-z","volume":"3","author":"J Ramsey","year":"2017","unstructured":"Ramsey, J., Glymour, M., Sanchez-Romero, R., Glymour, C.: A million variables and more: the fast greedy equivalence search algorithm for learning high-dimensional graphical causal models, with an application to functional magnetic resonance images. Int. J. Data Sci. Anal. 3(2), 121\u2013129 (2017)","journal-title":"Int. J. Data Sci. Anal."},{"issue":"2","key":"2_CR9","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s00530-017-0579-0","volume":"25","author":"F Wang","year":"2019","unstructured":"Wang, F., Lian, C., Vera, P., Ruan, S.: Adaptive kernelized evidential clustering for automatic 3d tumor segmentation in FDG-PET images. Multimedia Syst. 25(2), 127\u2013133 (2019). https:\/\/doi.org\/10.1007\/s00530-017-0579-0","journal-title":"Multimedia Syst."},{"issue":"12","key":"2_CR10","doi-asserted-by":"publisher","first-page":"4983","DOI":"10.1109\/TCYB.2019.2940509","volume":"50","author":"X Wu","year":"2019","unstructured":"Wu, X., Jiang, B., Yu, K., Miao, C., Chen, H.: Accurate Markov boundary discovery for causal feature selection. IEEE Trans. Cybern. 50(12), 4983\u20134996 (2019)","journal-title":"IEEE Trans. Cybern."},{"issue":"5","key":"2_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3409382","volume":"53","author":"K Yu","year":"2020","unstructured":"Yu, K., Guo, X., Liu, L., Li, J., Wang, H., Ling, Z., Wu, X.: Causality-based feature selection: methods and evaluations. ACM Comput. Surv. (CSUR) 53(5), 1\u201336 (2020)","journal-title":"ACM Comput. Surv. (CSUR)"},{"issue":"4","key":"2_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3436891","volume":"15","author":"K Yu","year":"2021","unstructured":"Yu, K., Liu, L., Li, J.: A unified view of causal and non-causal feature selection. ACM Trans. Knowl. Disc. Data (TKDD) 15(4), 1\u201346 (2021)","journal-title":"ACM Trans. Knowl. Disc. Data (TKDD)"},{"issue":"9","key":"2_CR13","doi-asserted-by":"publisher","first-page":"2240","DOI":"10.1109\/TPAMI.2019.2908373","volume":"42","author":"K Yu","year":"2019","unstructured":"Yu, K., Liu, L., Li, J., Ding, W., Le, T.D.: Multi-source causal feature selection. IEEE Trans. Pattern Anal. Mach. Intell. 42(9), 2240\u20132256 (2019)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2_CR14","first-page":"9492","volume":"31","author":"X Zheng","year":"2018","unstructured":"Zheng, X., Aragam, B., Ravikumar, P.K., Xing, E.P.: DAGs with no tears: Continuous optimization for structure learning. Adv. Neural Inf. Process. Syst. 31, 9492\u20139503 (2018)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"2_CR15","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1007\/978-3-030-88601-1_6","volume-title":"Belief Functions: Theory and Applications","author":"K Zhou","year":"2021","unstructured":"Zhou, K., Guo, M., Martin, A.: Evidential clustering based on transfer learning. In: Den\u0153ux, T., Lef\u00e8vre, E., Liu, Z., Pichon, F. (eds.) Belief Functions: Theory and Applications, pp. 56\u201365. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-88601-1_6"},{"key":"2_CR16","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.knosys.2014.11.010","volume":"74","author":"K Zhou","year":"2015","unstructured":"Zhou, K., Martin, A., Pan, Q., Liu, Z.G.: Median evidential $$c$$-means algorithm and its application to community detection. Knowl.-Based Syst. 74, 69\u201388 (2015)","journal-title":"Knowl.-Based Syst."}],"container-title":["Lecture Notes in Computer Science","Belief Functions: Theory and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-17801-6_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,7]],"date-time":"2024-03-07T03:03:15Z","timestamp":1709780595000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-17801-6_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031178009","9783031178016"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-17801-6_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"30 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BELIEF","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Belief Functions","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Paris","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","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":"26 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"belief2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/hebergement.universite-paris-saclay.fr\/belief2022\/","order":11,"name":"conference_url","label":"Conference URL","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":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31","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":"29","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":"94% - 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":"2.68","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":"3.43","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}