{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:15:18Z","timestamp":1742912118353,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031414558"},{"type":"electronic","value":"9783031414565"}],"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\/978-3-031-41456-5_30","type":"book-chapter","created":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T23:02:43Z","timestamp":1694559763000},"page":"392-404","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Trust Assessment on\u00a0Data Stream Imputation in\u00a0IoT Environments"],"prefix":"10.1007","author":[{"given":"Tao","family":"Peng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sana","family":"Sellami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Omar","family":"Boucelma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard","family":"Chbeir","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,9,13]]},"reference":[{"key":"30_CR1","doi-asserted-by":"crossref","unstructured":"Adams, S., Beling, P.A., Greenspan, S., Velez-Rojas, M., Mankovski, S.: Model-based trust assessment for internet of things networks. In: 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications\/12th IEEE International Conference On Big Data Science And Engineering (TrustCom\/BigDataSE), pp. 1838\u20131843. IEEE (2018)","DOI":"10.1109\/TrustCom\/BigDataSE.2018.00278"},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Barddal, J.P.: Vertical and horizontal partitioning in data stream regression ensembles. In: 2019 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20138. IEEE (2019)","DOI":"10.1109\/IJCNN.2019.8852244"},{"key":"30_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/978-3-319-17016-9_2","volume-title":"Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance","author":"E Bertino","year":"2015","unstructured":"Bertino, E.: Data trustworthiness\u2014approaches and research challenges. In: Garcia-Alfaro, J., Herrera-Joancomart\u00ed, J., Lupu, E., Posegga, J., Aldini, A., Martinelli, F., Suri, N. (eds.) DPM\/QASA\/SETOP -2014. LNCS, vol. 8872, pp. 17\u201325. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-17016-9_2"},{"issue":"19","key":"30_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.17485\/ijst\/2017\/v10i19\/110646","volume":"10","author":"G Chhabra","year":"2017","unstructured":"Chhabra, G., Vashisht, V., Ranjan, J.: A comparison of multiple imputation methods for data with missing values. Indian J. Sci. Technol. 10(19), 1\u20137 (2017)","journal-title":"Indian J. Sci. Technol."},{"issue":"2","key":"30_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s42979-021-00459-1","volume":"2","author":"W Dong","year":"2021","unstructured":"Dong, W., Gao, S., Yang, X., Yu, H.: An exploration of online missing value imputation in non-stationary data stream. SN Comput. Sci. 2(2), 1\u201311 (2021)","journal-title":"SN Comput. Sci."},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Hasan, M.K., Alam, M.A., Roy, S., Dutta, A., Jawad, M.T., Das, S.: Missing value imputation affects the performance of machine learning: a review and analysis of the literature (2010\u20132021). Inform. Med. Unlock. 27, 100799 (2021)","DOI":"10.1016\/j.imu.2021.100799"},{"key":"30_CR7","doi-asserted-by":"publisher","first-page":"42493","DOI":"10.1109\/ACCESS.2021.3066457","volume":"9","author":"FMR Junior","year":"2021","unstructured":"Junior, F.M.R., Kamienski, C.A.: A survey on trustworthiness for the internet of things. IEEE Access 9, 42493\u201342514 (2021)","journal-title":"IEEE Access"},{"issue":"2","key":"30_CR8","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1587\/transinf.2018EDP7257","volume":"102","author":"M Lee","year":"2019","unstructured":"Lee, M., An, J., Lee, Y.: Missing-value imputation of continuous missing based on deep imputation network using correlations among multiple IoT data streams in a smart space. IEICE Trans. Inf. Syst. 102(2), 289\u2013298 (2019)","journal-title":"IEICE Trans. Inf. Syst."},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Lim, H.S., Moon, Y.S., Bertino, E.: Provenance-based trustworthiness assessment in sensor networks. In: Proceedings of the Seventh International Workshop on Data Management for Sensor Networks, pp. 2\u20137 (2010)","DOI":"10.1145\/1858158.1858162"},{"key":"30_CR10","doi-asserted-by":"crossref","unstructured":"Liu, J., Adams, S., Beling, P.A.: An ensemble trust scoring method for internet of things sensor networks. In: 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), pp. 1\u20136. IEEE (2020)","DOI":"10.1109\/WF-IoT48130.2020.9221203"},{"issue":"1","key":"30_CR11","first-page":"69","volume":"5","author":"T Peng","year":"2019","unstructured":"Peng, T., Sellami, S., Boucelma, O.: IoT data imputation with incremental multiple linear regression. Open J. Internet Things 5(1), 69\u201379 (2019)","journal-title":"Open J. Internet Things"},{"key":"30_CR12","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1007\/978-3-030-65742-0_14","volume-title":"Advanced Analytics and Learning on Temporal Data","author":"T Peng","year":"2020","unstructured":"Peng, T., Sellami, S., Boucelma, O.: Trust assessment on streaming data: a real time predictive approach. In: Lemaire, V., Malinowski, S., Bagnall, A., Guyet, T., Tavenard, R., Ifrim, G. (eds.) AALTD 2020. LNCS (LNAI), vol. 12588, pp. 204\u2013219. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-65742-0_14"},{"key":"30_CR13","doi-asserted-by":"publisher","first-page":"1086","DOI":"10.1109\/ACCESS.2016.2541999","volume":"4","author":"D Puiu","year":"2016","unstructured":"Puiu, D., et al.: CityPulse: large scale data analytics framework for smart cities. IEEE Access 4, 1086\u20131108 (2016)","journal-title":"IEEE Access"},{"key":"30_CR14","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.neucom.2017.01.078","volume":"239","author":"S Ramirez-Gallego","year":"2017","unstructured":"Ramirez-Gallego, S., Krawczyk, B., Garcia, S., Wozniak, M., Herrera, F.: A survey on data preprocessing for data stream mining: current status and future directions. Neurocomputing 239, 39\u201357 (2017)","journal-title":"Neurocomputing"},{"issue":"10","key":"30_CR15","first-page":"14","volume":"21","author":"R Somasundaram","year":"2011","unstructured":"Somasundaram, R., Nedunchezhian, R.: Evaluation of three simple imputation methods for enhancing preprocessing of data with missing values. Int. J. Comput. Appl. 21(10), 14\u201319 (2011)","journal-title":"Int. J. Comput. Appl."},{"key":"30_CR16","unstructured":"Vu, M.A., et al.: Conditional expectation for missing data imputation. CoRR abs\/2302.00911 (2023)"}],"container-title":["Lecture Notes in Computer Science","Computational Collective Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-41456-5_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,12]],"date-time":"2023-09-12T23:07:18Z","timestamp":1694560038000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-41456-5_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031414558","9783031414565"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-41456-5_30","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":"13 September 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Collective Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Budapest","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Hungary","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":"27 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccci2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccci.pwr.edu.pl\/2023\/","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":"218","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":"59","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":"27% - 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":"3.01","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":"1.86","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)"}}]}}