{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T22:51:33Z","timestamp":1766875893392,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811557873"},{"type":"electronic","value":"9789811557880"}],"license":[{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,9,9]],"date-time":"2020-09-09T00:00:00Z","timestamp":1599609600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-981-15-5788-0_58","type":"book-chapter","created":{"date-parts":[[2020,9,8]],"date-time":"2020-09-08T08:02:45Z","timestamp":1599552165000},"page":"611-618","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":18,"title":["Machine Learning Approach for Student Academic Performance Prediction"],"prefix":"10.1007","author":[{"given":"Sachin","family":"Rai","sequence":"first","affiliation":[]},{"given":"K. Aditya","family":"Shastry","sequence":"additional","affiliation":[]},{"given":"Surendra","family":"Pratap","sequence":"additional","affiliation":[]},{"given":"Saurav","family":"Kishore","sequence":"additional","affiliation":[]},{"given":"Priyanka","family":"Mishra","sequence":"additional","affiliation":[]},{"given":"H. A.","family":"Sanjay","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,9]]},"reference":[{"key":"58_CR1","unstructured":"Ahmed, A.B.E.D., Elaraby, I.S.: Data mining: a prediction for student\u2019s performance using classification method. World J. Comput. Appl. Technol. 2(2), 43\u201347 (2014)"},{"issue":"1","key":"58_CR2","first-page":"165","volume":"17","author":"A Altaher","year":"2014","unstructured":"Altaher, A., BaRukab, O.: Prediction of student\u2019s academic performance based on adaptive neuro-fuzzy inference. Int. J. Comput. Sci. Netw. Secur. 17(1), 165\u2013169 (2014)","journal-title":"Int. J. Comput. Sci. Netw. Secur."},{"issue":"1","key":"58_CR3","first-page":"37","volume":"107","author":"A Acharya","year":"2014","unstructured":"Acharya, A., Sinha, D.: Early prediction of student performance using machine learning techniques. Int. J. Comput. Appl. 107(1), 37\u201343 (2014)","journal-title":"Int. J. Comput. Appl."},{"key":"58_CR4","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1016\/j.procs.2015.07.372","volume":"57","author":"P Kaur","year":"2015","unstructured":"Kaur, P., Singh, M., Josan, G.S.: Classification and prediction-based data mining algorithms to predict slow learners in education sector. Procedia Comput. Sci. 57, 500\u2013508 (2015)","journal-title":"Procedia Comput. Sci."},{"issue":"1","key":"58_CR5","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.compedu.2010.01.010","volume":"55","author":"H Guruler","year":"2010","unstructured":"Guruler, H., Istanbullu, A., Karahasan, M.: A new student performance analyzing system using knowledge discovery in higher educational databases. Comput. Educ. 55(1), 247\u2013254 (2010)","journal-title":"Comput. Educ."},{"issue":"4","key":"58_CR6","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1080\/09645290701409939","volume":"15","author":"JP Vandamme","year":"2007","unstructured":"Vandamme, J.P., Meskens, N., Superby, J.F.: Predicting academic performance by data mining methods. Educ. Econ. 15(4), 405\u2013419 (2007)","journal-title":"Educ. Econ."},{"key":"58_CR7","first-page":"140","volume":"2","author":"M Abuteir","year":"2012","unstructured":"Abuteir, M., El-Halees, A.: Mining educational data to improve students\u2019 performance: a case study. Int. J. Inf. Commun. Technol. Res. 2, 140\u2013146 (2012)","journal-title":"Int. J. Inf. Commun. Technol. Res."},{"issue":"6","key":"58_CR8","first-page":"63","volume":"2","author":"BK Baradwaj","year":"2011","unstructured":"Baradwaj, B.K., Pal, S.: Mining educational data to analyze students performance. Int. J. Adv. Comput. Sci. Appl. 2(6), 63\u201369 (2011)","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"issue":"4","key":"58_CR9","first-page":"1680","volume":"4","author":"KS Priya","year":"2013","unstructured":"Priya, K.S., Kumar, A.V.S.: Improving the student\u2019s performance using educational data mining. Int. J. Adv. Netw. Appl. 4(4), 1680\u20131685 (2013)","journal-title":"Int. J. Adv. Netw. Appl."},{"key":"58_CR10","unstructured":"Cortez, P., Silva, A.: Using data mining to predict secondary school student performance. In: Brito, A., Teixeira, J. (eds.) 5th Future Business Technology Conference (FUBUTEC 2008), pp. 5\u201312 (2008)"},{"key":"58_CR11","unstructured":"UCI repository. \nhttps:\/\/archive.ics.uci.edu\/ml\/datasets\/student+performance\n\n. Last accessed 2019\/3\/24"},{"key":"58_CR12","unstructured":"VanderPlas, J.: Python data science handbook essential tools for working with data. O\u2019Reilly Media, pp. 541 (2016)"},{"key":"58_CR13","unstructured":"Banu, A.K.S., Ganesh, S.H.: A study of feature selection approaches for classification. In: International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), pp. 1\u20134. Coimbatore (2015)"},{"key":"58_CR14","doi-asserted-by":"crossref","unstructured":"Jaiswal, J.K., Samikannu, R.: Application of random forest algorithm on feature subset selection and classification and regression. In: World Congress on Computing and Communication Technologies (WCCCT), pp. 65\u201368. Tiruchirappalli (2017)","DOI":"10.1109\/WCCCT.2016.25"},{"issue":"8","key":"58_CR15","doi-asserted-by":"publisher","first-page":"4012","DOI":"10.1109\/TIP.2018.2834830","volume":"27","author":"A Paul","year":"2018","unstructured":"Paul, A., Mukherjee, D.P., Das, P., Gangopadhyay, A., Chintha, A.R., Kundu, S.: Improved random forest for classification. IEEE Trans. Image Process. 27(8), 4012\u20134024 (2018)","journal-title":"IEEE Trans. Image Process."}],"container-title":["Advances in Intelligent Systems and Computing","Evolution in Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-15-5788-0_58","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,8]],"date-time":"2020-09-08T08:13:31Z","timestamp":1599552811000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-15-5788-0_58"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,9,9]]},"ISBN":["9789811557873","9789811557880"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-15-5788-0_58","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2020,9,9]]},"assertion":[{"value":"9 September 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}}]}}