{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:33:12Z","timestamp":1743013992107,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031429408"},{"type":"electronic","value":"9783031429415"}],"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\/978-3-031-42941-5_5","type":"book-chapter","created":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T08:02:46Z","timestamp":1693382566000},"page":"46-55","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Remembering the Forgotten: Clustering, Outlier Detection, and Accuracy Tuning in a Postdiction Pipeline"],"prefix":"10.1007","author":[{"given":"Anna","family":"Baskin","sequence":"first","affiliation":[]},{"given":"Scott","family":"Heyman","sequence":"additional","affiliation":[]},{"given":"Brian T.","family":"Nixon","sequence":"additional","affiliation":[]},{"given":"Constantinos","family":"Costa","sequence":"additional","affiliation":[]},{"given":"Panos K.","family":"Chrysanthis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,31]]},"reference":[{"issue":"1\u20133","key":"5_CR1","first-page":"1","volume":"4","author":"G Cormode","year":"2012","unstructured":"Cormode, G., Garofalakis, M., Haas, P.J., Jermaine, C.: Synopses for massive data: samples, histograms, wavelets, sketches. Found. Trends Databases 4(1\u20133), 1\u2013294 (2012)","journal-title":"Found. Trends Databases"},{"key":"5_CR2","doi-asserted-by":"crossref","unstructured":"Costa, C., Charalampous, A., Konstantinidis, A., Zeinalipour-Yazti, D., Mokbel, M.F.: TBD-DP: telco big data visual analytics with data postdiction. In: 19th IEEE International Conference on Mobile Data Management, pp. 280\u2013281 (2018)","DOI":"10.1109\/MDM.2018.00050"},{"issue":"4","key":"5_CR3","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1007\/s10707-019-00364-z","volume":"23","author":"C Costa","year":"2019","unstructured":"Costa, C., Konstantinidis, A., Charalampous, A., Zeinalipour-Yazti, D., Mokbel, M.F.: Continuous decaying of telco big data with data postdiction. GeoInformatica 23(4), 533\u2013557 (2019)","journal-title":"GeoInformatica"},{"key":"5_CR4","unstructured":"Kersten, M.L.: Big data space fungus. In: CIDR 2015, Seventh Biennial Conference on Innovative Data Systems Research (2015)"},{"key":"5_CR5","unstructured":"Kersten, M.L., Sidirourgos, L.: A database system with amnesia. In: CIDR (2017)"},{"key":"5_CR6","unstructured":"NIH: All of us research program. https:\/\/allofus.nih.gov\/"},{"key":"5_CR7","doi-asserted-by":"publisher","first-page":"54776","DOI":"10.1109\/ACCESS.2020.2980942","volume":"8","author":"GT Reddy","year":"2020","unstructured":"Reddy, G.T., et al.: Analysis of dimensionality reduction techniques on big data. IEEE Access 8, 54776\u201354788 (2020)","journal-title":"IEEE Access"},{"key":"5_CR8","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.jss.2014.09.024","volume":"102","author":"J Song","year":"2015","unstructured":"Song, J., Guo, C., Wang, Z., Zhang, Y., Yu, G., Pierson, J.M.: HaoLap: A Hadoop based OLAP system for big data. J. Syst. Softw. 102, 167\u2013181 (2015)","journal-title":"J. Syst. Softw."},{"key":"5_CR9","doi-asserted-by":"crossref","unstructured":"Tian, J., et al.: CuSZ: an efficient GPU-based error-bounded lossy compression framework for scientific data. In: ACM International Conference on Parallel Architectures and Compilation Techniques, pp. 3\u201315 (2020)","DOI":"10.1145\/3410463.3414624"},{"key":"5_CR10","unstructured":"Ulianova, S.: Cardiovascular disease dataset (2019). https:\/\/www.kaggle.com\/datasets\/sulianova\/cardiovascular-disease-dataset"},{"issue":"13","key":"5_CR11","doi-asserted-by":"publisher","first-page":"1508","DOI":"10.14778\/2733004.2733022","volume":"7","author":"Y Yan","year":"2014","unstructured":"Yan, Y., Chen, L.J., Zhang, Z.: Error-bounded sampling for analytics on big sparse data. Proc. VLDB Endow. 7(13), 1508\u20131519 (2014)","journal-title":"Proc. VLDB Endow."},{"key":"5_CR12","unstructured":"Zhang, R.: Data reduction. In: Liu, L., \u00d6zsu, M.T. (eds.) Encyclopedia of Database Systems, pp. 1\u20136. Springer, Cham (2016)"}],"container-title":["Communications in Computer and Information Science","New Trends in Database and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-42941-5_5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:25:58Z","timestamp":1710267958000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-42941-5_5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031429408","9783031429415"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-42941-5_5","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADBIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Advances in Databases and Information Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Barcelona","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"4 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adbis2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/adbis.eu\/","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":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"77","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":"14","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":"25","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":"18% - 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":"N\/A","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":"N\/A","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)"}}]}}