{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:30:19Z","timestamp":1750221019046,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":20,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1145\/3335484.3335529","type":"proceedings-article","created":{"date-parts":[[2019,7,8]],"date-time":"2019-07-08T16:54:49Z","timestamp":1562604889000},"page":"60-63","source":"Crossref","is-referenced-by-count":0,"title":["Data Analytics for Engagement In Stem Education"],"prefix":"10.1145","author":[{"given":"Swee Shu Luing","family":"Nikalus","sequence":"first","affiliation":[{"name":"Tunku Abdul Rahman UC Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sim Ee","family":"Kee","sequence":"additional","affiliation":[{"name":"Tunku Abdul Rahman UC Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guan Hin","family":"Chau","sequence":"additional","affiliation":[{"name":"Tunku Abdul Rahman UC Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pei Ling","family":"Ooi","sequence":"additional","affiliation":[{"name":"Tunku Abdul Rahman University College Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3335484.3335529-1","unstructured":"Daempfle, P. (2002). An analysis of the high attrition rates among first year college science, math and engineering majors. U.S. Dept. of Education,Office of Educational Research and Improvement, Educational Resources Information Center (ERIC)"},{"key":"key-10.1145\/3335484.3335529-2","doi-asserted-by":"crossref","unstructured":"Hall, C., Dickerson, J., Batts, D., Kauffmann, P. and Bosse, M. (2011). Are we missing opportunities to encourage interest in STEM fields? Journal of Technology Education, 23, 32--46. https:\/\/doi.org\/10.21061\/jte.v23i1.a.4","DOI":"10.21061\/jte.v23i1.a.4"},{"key":"key-10.1145\/3335484.3335529-3","unstructured":"Mullis, I. V. S., Martin, M. O., Fierros, E. G., Goldberg, A. L. and Stemler, S. E. (2000). Gender Differences in Achievement. IEA's Third International Mathematics and Science Study (TIMSS, 1999), TIMSS International Study Centre, Boston College."},{"key":"key-10.1145\/3335484.3335529-4","unstructured":"Lindgren, H.C. (1980). Educational Psychology in the Classroom. New York: Oxford University Press."},{"key":"key-10.1145\/3335484.3335529-5","unstructured":"Davenport T. H. 2006. Competing on analytics. Harvard Business Review. 84, pp. 98--107, 2006."},{"key":"key-10.1145\/3335484.3335529-6","unstructured":"Boyer, J., Brown, B., Green, B., Harris, T., and Van De Vanter, K. 2012. 5 keys to business analytics program success. LLC: MC Press, 2012."},{"key":"key-10.1145\/3335484.3335529-7","unstructured":"Baecke, P. and Van Den Poel, D. 2010. Improving purchasing behavior predictions by data augmentation with situational variables. International Journal of Information Technology & Decision Making. 9, pp. 853--872."},{"key":"key-10.1145\/3335484.3335529-8","unstructured":"Davenport, T. H. and Kim, J. 2013. Keeping up with the quants, Your guide to understanding analytics. Boston MA: Harvard Business Review Press."},{"key":"key-10.1145\/3335484.3335529-9","unstructured":"Jolliffe, I.T. 1986. Principal Component Analysis, Springer Verlag, 1986."},{"key":"key-10.1145\/3335484.3335529-10","doi-asserted-by":"crossref","unstructured":"Jackson, J.E. 1991. A User's Guide to Principal Components. N.Y.: Wiley_Interscience.","DOI":"10.1002\/0471725331"},{"key":"key-10.1145\/3335484.3335529-11","doi-asserted-by":"crossref","unstructured":"Li, X.-L., Adali T., and Anderson, M. 2011. Noncircular principal component analysis and its application to model selection. IEEE Trans Signal Process. 59(10): pp.4516--4528.","DOI":"10.1109\/TSP.2011.2160631"},{"key":"key-10.1145\/3335484.3335529-12","unstructured":"Liu, X., Liu, F., and Bai, J. 2011, A linear correction for principal component analysis of dynamic fluorescence diffuse optical tomography images. IEEE Trans Biomed Eng. 58(6), pp. 1602--1611."},{"key":"key-10.1145\/3335484.3335529-13","doi-asserted-by":"crossref","unstructured":"Langley, P., Bowers, E. J., and Murray, A. 2010. Principal component analysis as a tool for analyzing beat-to-beat changes in ECG features: application to ECG-derived respiration. IEEE Trans Biomed Eng. 57(4), pp. 821--829,.","DOI":"10.1109\/TBME.2009.2018297"},{"key":"key-10.1145\/3335484.3335529-14","unstructured":"Arslan, O. 2013. Spatially Weighted Principal Component Analysis (PCA) Method for Water Quality Analysis. Water Resources. Vol. 40, No. 3, pp. 315--324, 2013."},{"key":"key-10.1145\/3335484.3335529-15","doi-asserted-by":"crossref","unstructured":"S.T. Lim, D.F.W. Yap, A. Abdul Manap, A Novel Approach for Arbitrary-Shape ROI Compression of Medical Images Using Principal Component Analysis(PCA), Trends in Applied Science Research, Vol. 10, Issue 1, pp. 68--76, 2015.","DOI":"10.3923\/tasr.2015.68.76"},{"key":"key-10.1145\/3335484.3335529-16","unstructured":"Weber, F. M., Keller, D. U. J., Bauer, S., Seemann, G., Lorenz, C., and D&#246;ssel, O. 2011. Predicting tissue conductivity influences on body surface potentials---an efficient approach based on principal component analysis. IEEE Trans Biomed Eng. 58(2), pp.265--273, 2011."},{"key":"key-10.1145\/3335484.3335529-17","doi-asserted-by":"crossref","unstructured":"Othman, M. F. and Moh, T. S. Y. 2007. Comparison of Different Classification Techniques Using WEKA for Breast Cancer. IFMBE Proceedings. Vol. 15, pp. 520--523, 2007","DOI":"10.1007\/978-3-540-68017-8_131"},{"key":"key-10.1145\/3335484.3335529-18","unstructured":"Bouckaert, R., Frank, Hall, R. E., Kirkby,M. R., Reutemann, P., Seewald, A. and Scuse, D. 2013. WEKA Manual for Version 3-7-10."},{"key":"key-10.1145\/3335484.3335529-19","doi-asserted-by":"crossref","unstructured":"Alan G., Danielle S. 2018. The Roots of STEM Achievement: An Analysis of Persistence and Attainment in STEM Majors, The American Economist, Vol. 63(1) 79--93","DOI":"10.1177\/0569434517721770"},{"key":"key-10.1145\/3335484.3335529-20","unstructured":"Sharma, T. C. and Jain, M. 2013. WEKA Approach for Comparative Study of Classification Algorithm. International Journal of Advanced Research in Computer and Communication Engineering.Vol. 2, Issue 4, pp 1925--1932, ISSN (Print): 2319--5940. https:\/\/www.cs.waikato.ac.nz\/ml\/weka\/Witten_et_al_2016_appendix.p"}],"event":{"number":"4","sponsor":["Shenzhen University","Sun Yat-Sen University"],"acronym":"ICBDC 2019","name":"the 2019 4th International Conference","start":{"date-parts":[[2019,5,10]]},"location":"Guangzhou, China","end":{"date-parts":[[2019,5,12]]}},"container-title":["Proceedings of the 2019 4th International Conference on Big Data and Computing  - ICBDC 2019"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3335484.3335529","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3335529&ftid=2070075&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:26:19Z","timestamp":1750206379000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3335484.3335529"}},"subtitle":[],"proceedings-subject":"Big Data and Computing","short-title":[],"issued":{"date-parts":[[2019]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1145\/3335484.3335529","relation":{},"subject":[],"published":{"date-parts":[[2019]]}}}