{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T05:39:39Z","timestamp":1744695579203,"version":"3.40.3"},"publisher-location":"Cham","reference-count":16,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031164736"},{"type":"electronic","value":"9783031164743"}],"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\/978-3-031-16474-3_51","type":"book-chapter","created":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T14:16:28Z","timestamp":1662992188000},"page":"623-635","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Uplift Modeling Using the Transformed Outcome Approach"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8912-2244","authenticated-orcid":false,"given":"Paulo","family":"Pinheiro","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5590-1493","authenticated-orcid":false,"given":"Lu\u00eds","family":"Cavique","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,9,13]]},"reference":[{"key":"51_CR1","volume-title":"Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die","author":"E Siegel","year":"2016","unstructured":"Siegel, E.: Predictive Analytics: The Power To Predict Who Will Click, Buy, Lie, Or Die. Wiley, Hoboken (2016)"},{"issue":"1","key":"51_CR2","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1509\/jmr.16.0163","volume":"55","author":"E Ascarza","year":"2018","unstructured":"Ascarza, E.: Retention futility: targeting high-risk customers might be ineffective. J. Mark. Res. 55(1), 80\u201398 (2018)","journal-title":"J. Mark. Res."},{"key":"51_CR3","volume-title":"Causal Inference in Statistics: A Primer","author":"J Pearl","year":"2016","unstructured":"Pearl, J., Glymour, M., Jewell, N.P.: Causal Inference in Statistics: A Primer, 1st edn. Wiley, Hoboken (2016)","edition":"1"},{"key":"51_CR4","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9781139025751","volume-title":"Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction","author":"GW Imbens","year":"2015","unstructured":"Imbens, G.W., Rubin, D.B.R.: Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction. Cambridge University Press, Cambridge (2015)"},{"key":"51_CR5","volume-title":"The Book of Why: The New Science of Cause and Effect","author":"J Pearl","year":"2018","unstructured":"Pearl, J., Mackenzie, D.: The Book of Why: The New Science of Cause and Effect. Basic Books, New York (2018)"},{"issue":"1","key":"51_CR6","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1080\/09332480.2019.1579578","volume":"32","author":"MA Hern\u00e1n","year":"2019","unstructured":"Hern\u00e1n, M.A., Hsu, J., Healy, B.: A second chance to get causal inference right: a classification of data science tasks. Chance 32(1), 42\u201349 (2019)","journal-title":"Chance"},{"issue":"1","key":"51_CR7","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1089\/big.2017.0104","volume":"6","author":"F Devriendt","year":"2018","unstructured":"Devriendt, F., Moldovan, D., Verbeke, W.: A literature survey and experimental evaluation of the state-of-the-art in uplift modeling: a stepping stone toward the development of prescriptive analytics. Big Data 6(1), 13\u201341 (2018)","journal-title":"Big Data"},{"key":"51_CR8","first-page":"1","volume":"67","author":"P Gutierrez","year":"2016","unstructured":"Gutierrez, P., G\u00e9rardy, J.-Y.: Causal inference and uplift modeling: a review of the literature. JMLR 67, 1\u201313 (2016)","journal-title":"JMLR"},{"issue":"1","key":"51_CR9","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1093\/biomet\/70.1.41","volume":"70","author":"PR Rosenbaum","year":"1983","unstructured":"Rosenbaum, P.R., Rubin, D.B.: The central role of the propensity score in observational studies for causal effects. Biometrika 70(1), 41\u201355 (1983)","journal-title":"Biometrika"},{"issue":"8","key":"51_CR10","first-page":"1","volume":"54","author":"W Zhang","year":"2022","unstructured":"Zhang, W., Li, J., Liu, L.: A unified survey of treatment effect heterogeneity modelling and uplift modelling. ACM Comput. Surv. 54(8), 1\u201336 (2022)","journal-title":"ACM Comput. Surv."},{"key":"51_CR11","unstructured":"Athey, S., Imbens, G.W.: Machine learning methods for estimating heterogeneous causal effects, April 2015"},{"key":"51_CR12","unstructured":"Jaskowski, M., Jaroszewicz, S.: Uplift modeling for clinical trial data. In: ICML 2012 Workshop on Clinical Data Analysis (2012)"},{"key":"51_CR13","unstructured":"BlastChar, \u201cTelco Customer Churn\u201d (2018). https:\/\/www.kaggle.com\/blastchar\/telco-customer-churn. Accessed 01 Nov 2021"},{"key":"51_CR14","unstructured":"Guelman, L.: Package \u2018uplift\u2019 (2015)"},{"key":"51_CR15","unstructured":"Guelman, L., Guill\u00e9n, M., P\u00e9rez-Mar\u00edn, A.M.: Optimal personalized treatment rules for marketing interventions\u202f: a review of methods, a new proposal, and an insurance case study. Research Group on Risk in Insurance and Finance (2014)"},{"key":"51_CR16","unstructured":"Hothorn, T., Seibold, H., Zeileis, A.: Package \u2018partykit\u2019 (2021)"}],"container-title":["Lecture Notes in Computer Science","Progress in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-16474-3_51","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,12]],"date-time":"2022-09-12T14:23:49Z","timestamp":1662992629000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-16474-3_51"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031164736","9783031164743"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-16474-3_51","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"13 September 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"EPIA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"EPIA Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Lisbon","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"31 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 September 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"epia2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/epia2022.inesc-id.pt\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-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":"85","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":"64","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":"75% - 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":"3,7","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":"0,9","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)"}}]}}