{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T22:00:33Z","timestamp":1766181633632,"version":"3.37.3"},"reference-count":48,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100010661","name":"European Union\u2019s Horizon 2020 Research and Innovation Program through the Project CyberSec4Europe","doi-asserted-by":"publisher","award":["830929"],"award-info":[{"award-number":["830929"]}],"id":[{"id":"10.13039\/100010661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2021]]},"DOI":"10.1109\/access.2021.3074676","type":"journal-article","created":{"date-parts":[[2021,4,22]],"date-time":"2021-04-22T01:49:45Z","timestamp":1619056185000},"page":"63700-63717","source":"Crossref","is-referenced-by-count":15,"title":["Explainable Machine Learning for Default Privacy Setting Prediction"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9164-1919","authenticated-orcid":false,"given":"Sascha","family":"Lobner","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1087-2019","authenticated-orcid":false,"given":"Welderufael B.","family":"Tesfay","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2530-648X","authenticated-orcid":false,"given":"Toru","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0893-7856","authenticated-orcid":false,"given":"Sebastian","family":"Pape","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1108\/10748120110424816"},{"key":"ref38","first-page":"2229","article-title":"Evaluation: From precision, recall and F-factor to roc, informedness, markedness & correlation","volume":"2","author":"powers","year":"2008","journal-title":"Machine Learning Techniques"},{"key":"ref33","first-page":"787","article-title":"The effects of nudging a privacy setting suggestion algorithm’s outputs on user acceptability","volume":"27","author":"nakamura","year":"2019","journal-title":"J Inf Process"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67816-0_7"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.5220\/0005681100530062"},{"key":"ref30","first-page":"44","article-title":"Easing the burden of setting privacy preferences: A machine learning approach","author":"nakamura","year":"2016","journal-title":"Proc Int Conf Inf Syst Secur Privacy"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1284621.1284627"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1142\/9789813235533_0019"},{"key":"ref35","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"J Mach Learn Res"},{"key":"ref34","first-page":"849","article-title":"On spectral clustering: Analysis and an algorithm","author":"ng","year":"2002","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1054972.1054985"},{"key":"ref40","article-title":"Model evaluation, model selection, and algorithm selection in machine learning","author":"raschka","year":"2018","journal-title":"arXiv 1811 12808"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/MSECP.2003.1253568"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/WAINA.2010.26"},{"key":"ref13","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume":"96","author":"ester","year":"1996","journal-title":"Proc KDD"},{"journal-title":"Ethics Committee of the Faculty of Economics and Business of Goethe University Frankfurt (GU) and the Gutenberg School of Management & Economics of the Faculty of Law","year":"2021","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772727"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2810103.2813677"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2018.00018"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v38i3.2741"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3236009"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/PerComW.2012.6197507"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3375624"},{"key":"ref27","first-page":"281","article-title":"Some methods for classification and analysis of multivariate observations","author":"macqueen","year":"1967","journal-title":"Proc 5th Berkeley Symp Math Statist Probab"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/COMNET.2010.5699807"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"bishop","key":"ref6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2018.07.007"},{"key":"ref5","first-page":"1","article-title":"Explanation and justification in machine learning: A survey","volume":"8","author":"biran","year":"2017","journal-title":"Proc IJCAI Workshop Explainable AI (XAI)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1613\/jair.953"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"1","DOI":"10.34068\/joe.50.02.48","article-title":"Analyzing Likert data","volume":"50","author":"boone","year":"2012","journal-title":"Journal of Extension"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/967900.967983"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/VAST.2009.5332629"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2005.22"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11222-007-9033-z"},{"journal-title":"An Introduction to Machine Learning Interpretability","year":"2018","author":"hall","key":"ref20"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ARES.2011.96"},{"journal-title":"The Platform for Privacy Preferences 1 0 (P3P1 0) Specification","year":"2002","key":"ref48"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2010.12.003"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1963.10500845"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-020-2649-2"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772862"},{"key":"ref24","article-title":"The mythos of model interpretability","author":"lipton","year":"2016","journal-title":"arXiv 1606 03490"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1007\/s00779-008-0214-3"},{"journal-title":"Fundamentals of machine learning for predictive data analytics algorithms worked examples and case studies","year":"2015","author":"kelleher","key":"ref23"},{"key":"ref44","first-page":"1880","article-title":"Introduction: Privacy self-management and the consent dilemma","volume":"126","author":"solove","year":"2012","journal-title":"Harvard Law Rev"},{"key":"ref26","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372870"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04898-2"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9312710\/09410256.pdf?arnumber=9410256","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,2]],"date-time":"2023-11-02T14:20:01Z","timestamp":1698934801000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9410256\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1109\/access.2021.3074676","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2021]]}}}