{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,28]],"date-time":"2025-03-28T10:00:07Z","timestamp":1743156007327,"version":"3.40.3"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030642204"},{"type":"electronic","value":"9783030642211"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-64221-1_15","type":"book-chapter","created":{"date-parts":[[2020,11,28]],"date-time":"2020-11-28T11:02:33Z","timestamp":1606561353000},"page":"167-175","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Imputation of Incomplete Data Based on Attribute Cross Fitting Model and Iterative Missing Value Variables"],"prefix":"10.1007","author":[{"given":"Jinchong","family":"Zhu","sequence":"first","affiliation":[]},{"given":"Liyong","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Xiaochen","family":"Lai","sequence":"additional","affiliation":[]},{"given":"Genglin","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,11,27]]},"reference":[{"key":"15_CR1","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.ins.2009.10.008","volume":"237","author":"FV Nelwamondo","year":"2013","unstructured":"Nelwamondo, F.V., Golding, D., Marwala, T.: A dynamic programming approach to missing data estimation using neural networks. Inf. Sci. 237, 49\u201358 (2013)","journal-title":"Inf. Sci."},{"issue":"2","key":"15_CR2","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1007\/BF01421959","volume":"3","author":"PK Sharpe","year":"1995","unstructured":"Sharpe, P.K., Solly, R.J.: Dealing with missing values in neural network-based diagnostic systems. Neural Comput. Appl. 3(2), 73\u201377 (1995)","journal-title":"Neural Comput. Appl."},{"key":"15_CR3","unstructured":"Ankaiah, N., Ravi, V.: A novel soft computing hybrid for data imputation. In: Proceedings of the International Conference on Data Mining, pp. 65\u201370 (2011)"},{"key":"15_CR4","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"260","DOI":"10.1007\/978-3-319-93040-4_21","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"L Gondara","year":"2018","unstructured":"Gondara, L., Wang, K.: MIDA: multiple imputation using denoising autoencoders. In: Phung, D., Tseng, Vincent S., Webb, Geoffrey I., Ho, B., Ganji, M., Rashidi, L. (eds.) PAKDD 2018. LNCS (LNAI), vol. 10939, pp. 260\u2013272. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-93040-4_21"},{"key":"15_CR5","unstructured":"Marwala, T., Chakraverty, S.: Fault classification in structures with incomplete measured data using auto associative neural networks and genetic algorithm. Curr. Sci., 542\u2013548 (2006)"},{"issue":"3","key":"15_CR6","first-page":"72","volume":"7","author":"FJ Mistry","year":"2009","unstructured":"Mistry, F.J., Nelwamondo, F.V., Marwala, T.: Missing data estimation using principle component analysis and auto associative neural networks. J. Syst. Cybernatics Inform. 7(3), 72\u201379 (2009)","journal-title":"J. Syst. Cybernatics Inform."},{"key":"15_CR7","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.neucom.2014.02.037","volume":"138","author":"V Ravi","year":"2014","unstructured":"Ravi, V., Krishna, M.: A new online data imputation method based on general regression auto associative neural network. Neurocomputing 138, 106\u2013113 (2014)","journal-title":"Neurocomputing"},{"key":"15_CR8","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.ins.2015.07.016","volume":"325","author":"C Gautam","year":"2015","unstructured":"Gautam, C., Ravi, V.: Counter propagation auto-associative neural network based data imputation. Inf. Sci. 325, 288\u2013299 (2015)","journal-title":"Inf. Sci."},{"issue":"1","key":"15_CR9","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1016\/j.neunet.2010.09.008","volume":"24","author":"EL Silva-Ram\u00edrez","year":"2011","unstructured":"Silva-Ram\u00edrez, E.L., Pino-Mej\u00edas, R., L\u00f3pez-Coello, M., Cubiles-de-la-Vega, M.: Missing value imputation on missing completely at random data using multilayer perceptrons. Neural Netw. 24(1), 121\u2013129 (2011)","journal-title":"Neural Netw."},{"issue":"4","key":"15_CR10","doi-asserted-by":"publisher","first-page":"1333","DOI":"10.1016\/j.eswa.2012.08.057","volume":"40","author":"PJ Garc\u00eda-Laencina","year":"2013","unstructured":"Garc\u00eda-Laencina, P.J., Sancho-G\u00f3mez, J.L., Figueiras-Vidal, A.R.: Classifying patterns with missing values using multi-task learning perceptrons. Expert Syst. Appl. 40(4), 1333\u20131341 (2013)","journal-title":"Expert Syst. Appl."},{"key":"15_CR11","unstructured":"UC Irvine Machine Learning Repository. http:\/\/archive.ics.uci.edu\/ml\/index.php"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks \u2013 ISNN 2020"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-64221-1_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,11,28]],"date-time":"2020-11-28T11:09:28Z","timestamp":1606561768000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-64221-1_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030642204","9783030642211"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-64221-1_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"27 November 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISNN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cairo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Egypt","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 December 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 December 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isnn2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/conference.cs.cityu.edu.hk\/isnn\/","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":"39","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":"24","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":"62% - 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":"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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}