{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,11]],"date-time":"2025-06-11T05:43:43Z","timestamp":1749620623743},"reference-count":27,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,7,2]],"date-time":"2019-07-02T00:00:00Z","timestamp":1562025600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,7,2]],"date-time":"2019-07-02T00:00:00Z","timestamp":1562025600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"the Project supported by the Educational Reform of Higher Education in Jiangsu Province of China","award":["2017JSJG283"],"award-info":[{"award-number":["2017JSJG283"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Wireless Inf Networks"],"published-print":{"date-parts":[[2019,9]]},"DOI":"10.1007\/s10776-019-00436-9","type":"journal-article","created":{"date-parts":[[2019,7,2]],"date-time":"2019-07-02T07:01:12Z","timestamp":1562050872000},"page":"174-182","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Effective Application of Naive Bayesian Classifier for Personal Online Learning Networks"],"prefix":"10.1007","volume":"26","author":[{"given":"Deyan","family":"Wang","sequence":"first","affiliation":[]},{"given":"Amritl Jaharadak","family":"Adam","sequence":"additional","affiliation":[]},{"given":"Ying","family":"Xiao","sequence":"additional","affiliation":[]},{"given":"Ya","family":"Gao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,2]]},"reference":[{"key":"436_CR1","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1023\/A:1009782106822","volume":"1","author":"B Inderpal","year":"1997","unstructured":"B. Inderpal and C. Edward, Advanced scout: data mining and knowledge discovery in NBA data, Data Mining and Knowledge Discovery, Vol. 1, pp. 121\u2013125, 1997. \n                    https:\/\/doi.org\/10.1023\/a:1009782106822\n                    \n                  .","journal-title":"Data Mining and Knowledge Discovery"},{"key":"436_CR2","doi-asserted-by":"publisher","first-page":"2581","DOI":"10.1007\/s00521-016-2205-z","volume":"28","author":"SV Mehmet","year":"2017","unstructured":"S. V. Mehmet and G. Mustafa, Criminal prediction using Naive Bayesian theory, Neural Computing & Applications, Vol. 28, pp. 2581\u20132592, 2017. \n                    https:\/\/doi.org\/10.1007\/s00521-016-2205-z\n                    \n                  .","journal-title":"Neural Computing & Applications"},{"key":"436_CR3","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1016\/j.procs.2015.02.047","volume":"46","author":"A Mohammad","year":"2015","unstructured":"A. Mohammad and C. Girija, Energy efficient data mining scheme for high dimensional data, Procedia Computer Science, Vol. 46, pp. 483\u2013490, 2015. \n                    https:\/\/doi.org\/10.1016\/j.procs.2015.02.047\n                    \n                  .","journal-title":"Procedia Computer Science"},{"issue":"6","key":"436_CR4","doi-asserted-by":"publisher","first-page":"1679","DOI":"10.1016\/j.gsf.2017.09.009","volume":"9","author":"X Li","year":"2018","unstructured":"X. Li, L. M. Zhang and S. H. A. Zhang, Efficient Bayesian networks for slope safety evaluation with large quantity monitoring information, Geoscience Frontiers, Vol. 9, No. 6, pp. 1679\u20131687, 2018.","journal-title":"Geoscience Frontiers"},{"key":"436_CR5","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.gaitpost.2018.09.028","volume":"67","author":"M Matthew","year":"2019","unstructured":"M. Matthew, P. L. De Leon, and D. Keeley, Bayesian classification of falls risk, Gait & Posture, Vol. 67, pp. 99\u2013103, 2019.","journal-title":"Gait & Posture"},{"key":"436_CR6","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/s00521-016-2416-3","volume":"29","author":"SR Bhagya Shree","year":"2018","unstructured":"S. R. Bhagya Shree and H. S. Sheshadri, Diagnosis of Alzheimer\u2019s disease using Naive Bayesian Classifier, Neural Computing & Applications, Vol. 29, pp. 123\u2013132, 2018. \n                    https:\/\/doi.org\/10.1007\/s00521-016-2416-3\n                    \n                  .","journal-title":"Neural Computing & Applications"},{"issue":"1","key":"436_CR7","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1016\/j.eswa.2006.04.005","volume":"33","author":"R Cristobal","year":"2007","unstructured":"R. Cristobal and V. Sebastian, Educational data mining: a survey from 1995 to 2005, Expert Systems with Applications, Vol. 33, No. 1, pp. 135\u2013146, 2007. \n                    https:\/\/doi.org\/10.1016\/j.eswa.2006.04.005\n                    \n                  .","journal-title":"Expert Systems with Applications"},{"issue":"11","key":"436_CR8","doi-asserted-by":"publisher","first-page":"4","DOI":"10.3991\/ijet.v13i11.9582","volume":"13","author":"Y Zhu","year":"2018","unstructured":"Y. Zhu, A data driven education decision support system, International Journal of Emerging Technologies in Learning (iJET), Vol. 13, No. 11, p. 4, 2018. \n                    https:\/\/doi.org\/10.3991\/ijet.v13i11.9582\n                    \n                  .","journal-title":"International Journal of Emerging Technologies in Learning (iJET)"},{"key":"436_CR9","doi-asserted-by":"publisher","unstructured":"F. Grivokostopoulou, I. Perikos, and I. Hatzilygeroudis, Utilizing semantic web technologies and data mining techniques to analyze students learning and predict final performance, International Conference on Teaching, Assessment and Learning (TALE), pp 488\u2013494, 2014. \n                    https:\/\/doi.org\/10.1109\/tale.2014.7062571\n                    \n                  .","DOI":"10.1109\/tale.2014.7062571"},{"key":"436_CR10","first-page":"43","volume":"9","author":"IE Livieris","year":"2016","unstructured":"I. E. Livieris, T. Mikropoulos, and P. Pintelas, A decision support system for predicting students\u2019 performance, Themes in Science and Technology Education, Vol. 9, pp. 43\u201357, 2016.","journal-title":"Themes in Science and Technology Education"},{"issue":"10","key":"436_CR11","first-page":"175","volume":"7","author":"HM Nagy","year":"2013","unstructured":"H. M. Nagy, W. M. Aly, and O. F. Hegazy, An educational data mining system for advising higher education students, World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, Vol. 7, No. 10, pp. 175\u2013179, 2013.","journal-title":"World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering"},{"issue":"6","key":"436_CR12","doi-asserted-by":"publisher","first-page":"1101","DOI":"10.1080\/18756891.2016.1256573","volume":"9","author":"AY Noaman","year":"2016","unstructured":"A. Y. Noaman, J. M. Luna, A. H. M. Ragab, and S. Ventura, Recommending degree studies according to students\u2019 attitudes in high school by means of subgroup discovery, International Journal of Computational Intelligence Systems, Vol. 9, No. 6, pp. 1101\u20131117, 2016. \n                    https:\/\/doi.org\/10.1080\/18756891.2016.1256573\n                    \n                  .","journal-title":"International Journal of Computational Intelligence Systems"},{"key":"436_CR13","unstructured":"Y. Lang and L. Kong, The U.S. Government Released \u201cBig Data Research and Development Initiative\u201d, 2012. \n                    http:\/\/escj.cnic.cn\/cn\/y2012\/v3\/i2\/89\n                    \n                  ."},{"issue":"1","key":"436_CR14","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1016\/j.matpr.2017.11.135","volume":"5","author":"S Patil","year":"2015","unstructured":"S. Patil and S. Kulkarni, Mining social media data for understanding students\u2019 learning experiences using Memetic algorithm, Materials Today: Proceedings, Vol. 5, No. 1, pp. 693\u2013699, 2015. \n                    https:\/\/doi.org\/10.1016\/j.matpr.2017.11.135\n                    \n                  .","journal-title":"Materials Today: Proceedings"},{"key":"436_CR15","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s11257-011-9098-4","volume":"21","author":"C Vialardi","year":"2011","unstructured":"C. Vialardi, J. Chue, and J. P. Peche, A data mining approach to guide students through the enrollment process based on academic performance, User Modeling and User-Adapted Interaction, Vol. 21, pp. 217\u2013248, 2011. \n                    https:\/\/doi.org\/10.1007\/s11257-011-9098-4\n                    \n                  .","journal-title":"User Modeling and User-Adapted Interaction"},{"key":"436_CR16","doi-asserted-by":"publisher","first-page":"235","DOI":"10.1007\/s00521-018-3756-y","volume":"15","author":"IE Livieris","year":"2018","unstructured":"I. E. Livieris, T. Kotsilieris, V. Tampakas, and P. Pintelas, Improving the evaluation process of students\u2019 performance utilizing a decision support software, Neural Computing and Applications, Vol. 15, pp. 235\u2013246, 2018. \n                    https:\/\/doi.org\/10.1007\/s00521-018-3756-y\n                    \n                  .","journal-title":"Neural Computing and Applications"},{"key":"436_CR17","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-642-23960-1_20","volume":"364","author":"M Koutina","year":"2011","unstructured":"M. Koutina and K. L. Kermanidis, Predicting postgraduate students\u2019 performance using machine learning techniques, Artificial Intelligence Applications and Innovations, Vol. 364, pp. 159\u2013168, 2011. \n                    https:\/\/doi.org\/10.1007\/978-3-642-23960-1_20\n                    \n                  .","journal-title":"Artificial Intelligence Applications and Innovations"},{"key":"436_CR18","volume-title":"Machine Learning","author":"ZH Zhou","year":"2016","unstructured":"Z. H. Zhou, Machine Learning. Tsinghua University, Beijing, 2016. (Chapter 2,3,7)."},{"issue":"2","key":"436_CR19","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1016\/j.scijus.2017.07.002","volume":"58","author":"A Biedermanna","year":"2018","unstructured":"A. Biedermanna, S. Bozzaba, and F. Taronia, Analysing and exemplifying forensic conclusion criteria in terms of Bayesian decision theory, Science & Justice, Vol. 58, No. 2, pp. 159\u2013165, 2018. \n                    https:\/\/doi.org\/10.1016\/j.scijus.2017.07.002\n                    \n                  .","journal-title":"Science & Justice"},{"issue":"469","key":"436_CR20","first-page":"1","volume":"100","author":"AP Dempster","year":"1977","unstructured":"A. P. Dempster, N. M. Laird, and D. B. Rubin, Maximum likelihood from incomplete data via the EM algorithm, Journal of the American Statistical Association, Vol. 100, No. 469, pp. 1\u20135, 1977.","journal-title":"Journal of the American Statistical Association"},{"key":"436_CR21","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1016\/j.asoc.2018.07.053","volume":"72","author":"N Marhamati","year":"2018","unstructured":"N. Marhamati, E. K. Buxton, and S. Rahimi, Integration of Z-numbers and Bayesian decision theory: a hybrid approach to decision making under uncertainty and imprecision, Applied Soft Computing, Vol. 72, pp. 273\u2013290, 2018. \n                    https:\/\/doi.org\/10.1016\/j.asoc.2018.07.053\n                    \n                  .","journal-title":"Applied Soft Computing"},{"issue":"5","key":"436_CR22","doi-asserted-by":"publisher","first-page":"563","DOI":"10.1016\/j.knosys.2010.09.007","volume":"24","author":"A alias Balamurugan","year":"2011","unstructured":"A. alias Balamurugan, R. Rajaram, S. Pramala, S. Rajalakshmi, C. Jeyendran, and J. D. Prakash, NB+: an improved Na\u00efve Bayesian algorithm, Knowledge-Based Systems, Vol. 24, No. 5, pp. 563\u2013569, 2011. \n                    https:\/\/doi.org\/10.1016\/j.knosys.2010.09.007\n                    \n                  .","journal-title":"Knowledge-Based Systems"},{"key":"436_CR23","doi-asserted-by":"publisher","unstructured":"M. Fanuel and J.A.K. Suykens, Deformed Laplacians and spectral ranking in directed networks, Applied and Computational Harmonic Analysis, 2017. \n                    https:\/\/doi.org\/10.1016\/j.acha.2017.09.002\n                    \n                  . (in press).","DOI":"10.1016\/j.acha.2017.09.002"},{"key":"436_CR24","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.microc.2018.02.009","volume":"139","author":"LC Lee","year":"2018","unstructured":"L. C. Lee, C. Y. Liong, and A. A. Jemain, Validity of the best practice in splitting data for hold-out validation strategy as performed on the ink strokes in the context of forensic science, Microchemical Journal, Vol. 139, pp. 125\u2013133, 2018. \n                    https:\/\/doi.org\/10.1016\/j.microc.2018.02.009\n                    \n                  .","journal-title":"Microchemical Journal"},{"key":"436_CR25","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.patcog.2017.03.025","volume":"69","author":"G Jiang","year":"2017","unstructured":"G. Jiang and W. Wang, Error estimation based on variance analysis of k-fold cross-validation, Pattern Recognition, Vol. 69, pp. 94\u2013106, 2017. \n                    https:\/\/doi.org\/10.1016\/j.patcog.2017.03.025\n                    \n                  .","journal-title":"Pattern Recognition"},{"issue":"1","key":"436_CR26","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1016\/j.jmaa.2011.06.030","volume":"385","author":"W Marciszewski","year":"2012","unstructured":"W. Marciszewski and G. Plebanek, On measures on Rosenthal compacta, Journal of Mathematical Analysis and Applications, Vol. 385, No. 1, pp. 185\u2013193, 2012. \n                    https:\/\/doi.org\/10.1016\/j.jmaa.2011.06.030\n                    \n                  .","journal-title":"Journal of Mathematical Analysis and Applications"},{"issue":"8","key":"436_CR27","doi-asserted-by":"publisher","first-page":"4638","DOI":"10.1016\/j.amc.2011.09.001","volume":"2018","author":"X-L Hu","year":"2011","unstructured":"X.-L. Hu, An extension of Rosenthal\u2019s inequality, Applied Mathematics and Computation, Vol. 2018, No. 8, pp. 4638\u20134640, 2011. \n                    https:\/\/doi.org\/10.1016\/j.amc.2011.09.001\n                    \n                  .","journal-title":"Applied Mathematics and Computation"}],"container-title":["International Journal of Wireless Information Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10776-019-00436-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10776-019-00436-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10776-019-00436-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:07:44Z","timestamp":1593562064000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10776-019-00436-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7,2]]},"references-count":27,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,9]]}},"alternative-id":["436"],"URL":"https:\/\/doi.org\/10.1007\/s10776-019-00436-9","relation":{},"ISSN":["1068-9605","1572-8129"],"issn-type":[{"value":"1068-9605","type":"print"},{"value":"1572-8129","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,2]]},"assertion":[{"value":"27 March 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 June 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 June 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 July 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}