{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T14:51:15Z","timestamp":1768834275918,"version":"3.49.0"},"reference-count":68,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"name":"Ministry of Science and ICT, South Korea, under the Information Technology Research Center Support Program supervised by the Institute for Information and Communications Technology Promotion (IITP)","award":["IITP-2017-0-01629"],"award-info":[{"award-number":["IITP-2017-0-01629"]}]},{"name":"IITP Grant through the Korean government (MSIT)","award":["2017-0-00655"],"award-info":[{"award-number":["2017-0-00655"]}]},{"name":"Industrial Core Technology Development Program (Develop of mining core technology exploiting personal big data) through the Ministry of Trade, Industry and Energy, South Korea","award":["10049079"],"award-info":[{"award-number":["10049079"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2817022","type":"journal-article","created":{"date-parts":[[2018,3,19]],"date-time":"2018-03-19T21:47:08Z","timestamp":1521496028000},"page":"15587-15607","source":"Crossref","is-referenced-by-count":26,"title":["A Data-Driven Knowledge Acquisition System: An End-to-End Knowledge Engineering Process for Generating Production Rules"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4107-7122","authenticated-orcid":false,"given":"Maqbool","family":"Ali","sequence":"first","affiliation":[]},{"given":"Rahman","family":"Ali","sequence":"additional","affiliation":[]},{"given":"Wajahat Ali","family":"Khan","sequence":"additional","affiliation":[]},{"given":"Soyeon Caren","family":"Han","sequence":"additional","affiliation":[]},{"given":"Jaehun","family":"Bang","sequence":"additional","affiliation":[]},{"given":"Taeho","family":"Hur","sequence":"additional","affiliation":[]},{"given":"Dohyeong","family":"Kim","sequence":"additional","affiliation":[]},{"given":"Sungyoung","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Byeong Ho","family":"Kang","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","first-page":"100","article-title":"A survey on feature ranking by means of evolutionary computation","volume":"40","author":"stoean","year":"2013","journal-title":"Ann Univ Craioa Math Comp Sci Ser"},{"key":"ref38","first-page":"1","article-title":"Mining minds: Journey of evolutionary platform for ubiquitous wellness","author":"khan","year":"2015","journal-title":"Proc 12th Int Conf Ubiquitous Healthcare (u-Healthcare)"},{"key":"ref33","author":"luc","year":"2015","journal-title":"WekaTextToXML Convert Weka Decision Trees Into interoperable XML Files"},{"key":"ref32","author":"holmes","year":"1999","journal-title":"Generating Rule Sets from Model Trees"},{"key":"ref31","first-page":"304","article-title":"Generating production rules from decision trees","volume":"87","author":"quinlan","year":"1987","journal-title":"Proc IJCAI"},{"key":"ref30","author":"witten","year":"2005","journal-title":"Data Mining Practical Machine Learning Tools and Techniques"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-16480-9_14"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/11937807_13","article-title":"Survey and taxonomy of feature selection algorithms in intrusion detection system","author":"chen","year":"2006","journal-title":"Information Security and Cryptology"},{"key":"ref35","first-page":"149","article-title":"Using data mining for prediction of hospital length of stay: An application of the CRISP-DM methodology","author":"caetano","year":"2014","journal-title":"Enterprise Information Systems"},{"key":"ref34","author":"winston","year":"1984","journal-title":"Artificial Intelligence"},{"key":"ref60","first-page":"63","article-title":"Construction and evaluation of a user experience questionnaire","author":"laugwitz","year":"2008","journal-title":"Symposium of the Austrian HCI and Usability Engineering Group"},{"key":"ref62","first-page":"52","article-title":"Baran: An interaction-centred user monitoring framework","author":"hashemi","year":"2015","journal-title":"Proc 2nd Int Conf Physiol Comput Syst (ESEO)"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.9781\/ijimai.2017.445"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2016.08.010"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/S1088-467X(98)00029-8"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2015.07.669"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.66"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.jvlc.2017.08.004"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.9781\/ijimai.2013.215"},{"key":"ref29","first-page":"1","article-title":"Micromanagement basado en formaciones de grupo implementado con scripting dinámico—Micromanagement group formations based on dynamic scripting implemented","author":"trevisani","year":"2014","journal-title":"Proc Argentine Congr Comput Sci"},{"key":"ref67","author":"schrepp","year":"2015","journal-title":"User Experience Questionnaire Handbook All You Need to Know to Apply the UEQ Successfully in Your Project"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-7518-7_2"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2012.05.045"},{"key":"ref1","author":"ali","year":"2017","journal-title":"A Documentation of DDKAT for Knowledge Acquisition"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/BF00116251"},{"key":"ref22","author":"ali","year":"2017","journal-title":"DDKAT—Data-Driven Knowledge Acquisition Tool Version 1 0"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.11.034"},{"key":"ref24","first-page":"1","article-title":"KEM-DT: A knowledge engineering methodology to produce an integrated rules set using decision tree classifiers","author":"ali","year":"2018","journal-title":"Proc 12th Int Conf Ubiquitous Inf Manage Commun (IMCOM)"},{"key":"ref23","first-page":"63","article-title":"SaKEM: A semi-automatic knowledge engineering methodology for building rule-based knowledgebase","author":"ali","year":"2016","journal-title":"Proc Int Symp Perception Action Cognit Syst (PACS)"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5772\/6438"},{"key":"ref25","author":"gupta","year":"2014","journal-title":"Introduction to Data Mining with Case Studies"},{"key":"ref50","first-page":"1","article-title":"A case-based meta-learning and reasoning framework for classifiers selection","author":"ali","year":"2018","journal-title":"Proc 12th Int Conf Ubiquitous Inf Manage Commun (IMCOM)"},{"key":"ref51","author":"ali","year":"2016","journal-title":"Automatic-Algorithm-Selector Version 1 0"},{"key":"ref59","first-page":"58","article-title":"Measuring user experience of the student-centered e-learning environment","volume":"13","author":"santoso","year":"2016","journal-title":"The Online Educator"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/IUSER.2016.7857946"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-016-1437-9"},{"key":"ref56","first-page":"45","author":"fletcher","year":"2005","journal-title":"Clinical Epidemiology The Essentials"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.2200\/S00240ED1V01Y200912DMK002"},{"key":"ref54","first-page":"1137","article-title":"A study of cross-validation and bootstrap for accuracy estimation and model selection","volume":"14","author":"kohavi","year":"1995","journal-title":"Proc Int Joint Conf AI"},{"key":"ref53","volume":"422","author":"mclachlan","year":"2005","journal-title":"Analyzing Microarray Gene Expression Data"},{"key":"ref52","author":"williams","year":"2010","journal-title":"Cross Validation Data Mining Desktop Survival Guide 2010"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/978-3-540-87481-2_21","article-title":"Robust feature selection using ensemble feature selection techniques","author":"saeys","year":"2008","journal-title":"Proc Eur Conf Mach Learn Knowl Discovery Databases"},{"key":"ref11","author":"belanche","year":"2011","journal-title":"Review and Evaluation of Feature Selection Algorithms in Synthetic Problems"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/1068009.1068210"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2012.6252467"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-33880-2_30"},{"key":"ref14","first-page":"267","article-title":"Ensemble feature ranking","author":"jong","year":"2004","journal-title":"Proc Conf Principles Knowledge Discovery Data Mining"},{"key":"ref15","first-page":"122","article-title":"Evaluation method for feature rankings and their aggregations for biomarker discovery","author":"slavkov","year":"2010","journal-title":"Proc MLSB"},{"key":"ref16","author":"altidor","year":"2011","journal-title":"Stability Analysis of Feature Selection Approaches With Low Quality Data"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1415-5_13"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-006-0040-8"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1002\/9780470377888"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/2500499"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-014-9426-2"},{"key":"ref6","author":"wikimedia foundation","year":"2017","journal-title":"Data Science"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1089\/big.2013.1508"},{"key":"ref8","author":"gregory","year":"2014","journal-title":"KDnuggets Methodology Poll"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.14257\/ijbsbt.2013.5.5.25"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2012.35"},{"key":"ref9","first-page":"13","article-title":"The CRISP-DM model: The new blueprint for data mining","volume":"5","author":"shearer","year":"2000","journal-title":"J Data Warehousing"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/11759966_202"},{"key":"ref45","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btm344"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1109\/IJCNN.2007.4371032","article-title":"A comparative analysis of feature selection methods for ensembles with different combination methods","author":"santana","year":"2007","journal-title":"Proc Int Joint Conf Neural Netw"},{"key":"ref42","first-page":"15","article-title":"Performance investigation of feature selection methods and sentiment lexicons for sentiment analysis","volume":"3","author":"sharma","year":"2012","journal-title":"IJCA Spec Issue Adv Comput Commun Technol HPC Appl"},{"key":"ref41","first-page":"331","article-title":"A study on feature selection and classification techniques for automatic genre classification of traditional malay music","author":"doraisamy","year":"2008","journal-title":"Proc ISMIR"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2004.08.015"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ICET.2012.6375420"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08319403.pdf?arnumber=8319403","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T06:56:54Z","timestamp":1643180214000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8319403\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":68,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2817022","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}