{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T04:41:32Z","timestamp":1741754492831,"version":"3.38.0"},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642240812"},{"type":"electronic","value":"9783642240829"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-24082-9_81","type":"book-chapter","created":{"date-parts":[[2011,9,20]],"date-time":"2011-09-20T11:31:55Z","timestamp":1316518315000},"page":"669-676","source":"Crossref","is-referenced-by-count":3,"title":["Model-Based Clustering Analysis of Student Data"],"prefix":"10.1007","author":[{"given":"Mirwais","family":"Tanai","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jongwan","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joong Hyuk","family":"Chang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"81_CR1","unstructured":"Akaike, H.: Information theory and an extension of the maximum likelihood principle. In: Second International Symposium on Information Theory, pp. 267\u2013281 (1973); MR0483125"},{"issue":"1","key":"81_CR2","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A.P. Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Royal Stat. Soc. B.\u00a039(1), 1\u201338 (1977)","journal-title":"J. Royal Stat. Soc. B."},{"key":"81_CR3","unstructured":"Barnes, T., Desmarais, M., Romero, C., Ventura, S.: Educational Data Mining 2009. In: Proceedings 2nd International Conference on Educational Data Mining, Cordoba, Spain (2009)"},{"key":"81_CR4","doi-asserted-by":"crossref","unstructured":"Beck, J.E., Mostow, J.: How who should practice: Using learning decomposition to evaluate the efficacy of different types of practice for different types of students. In: Proceedings of the 9th International Conference on Intelligent Tutoring Systems, pp. 353\u2013362 (2008)","DOI":"10.1007\/978-3-540-69132-7_39"},{"key":"81_CR5","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/S0167-8655(98)00144-5","volume":"20","author":"C. Biernacki","year":"1999","unstructured":"Biernacki, C., Celeux, G., Govaert, G.: An improvement of the NEC criterion for assessing the number of clusters in a mixture model. Pattern Recognition Letters\u00a020, 267\u2013272 (1999)","journal-title":"Pattern Recognition Letters"},{"issue":"7","key":"81_CR6","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1109\/34.865189","volume":"22","author":"C. Biernacki","year":"2000","unstructured":"Biernacki, C., Celeux, G., Govaert, G.: Assessing a mixture model for clustering with the integrated completed likelihood. PAMI\u00a022(7), 719\u2013725 (2000)","journal-title":"PAMI"},{"key":"81_CR7","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/0167-9473(92)90042-E","volume":"14","author":"G. Celeux","year":"1992","unstructured":"Celeux, G., Govaert, G.: A classification EM algorithm for clustering and two stochastic versions. Computational Statistics and Data Analysis\u00a014, 315\u2013332 (1992)","journal-title":"Computational Statistics and Data Analysis"},{"key":"81_CR8","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1080\/17442509208833797","volume":"41","author":"G. Celeux","year":"1992","unstructured":"Celeux, G., Diebolt, J.: A stochastic approximation type EM algorithm for the mixture problem. Stochastics and Stochastics Reports\u00a041, 127\u2013146 (1992)","journal-title":"Stochastics and Stochastics Reports"},{"key":"81_CR9","unstructured":"Cocea, M., Hershkovitz, A., Baker, R.S.J.D.: The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate? In: Proceedings of the 14th International Conference on Artificial Intelligence in Education, pp. 507\u2013514 (2009)"},{"key":"81_CR10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A. Dempster","year":"1977","unstructured":"Dempster, A., Laird, N., Rubin, D.: Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society B\u00a039, 1\u201338 (1977)","journal-title":"Journal of the Royal Statistical Society B"},{"issue":"3","key":"81_CR11","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1109\/34.990138","volume":"24","author":"M.A.T. Figueiredo","year":"2002","unstructured":"Figueiredo, M.A.T., Jain, A.K.: Unsupervised learning of finite mixture models. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a024(3), 381\u2013396 (2002), http:\/\/dx.doi.org\/","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"81_CR12","unstructured":"Jeong, H., Biswas, G.: Mining Student Behavior Models in Learning-by-Teaching Environments. In: Proceedings of the 1st International Conference on Educational Data Mining, pp. 127\u2013136 (2008)"},{"key":"81_CR13","doi-asserted-by":"publisher","DOI":"10.1002\/0471721182","volume-title":"Finite Mixture Models","author":"G. McLachlan","year":"2000","unstructured":"McLachlan, G., Peel, D.: Finite Mixture Models. John Wiley and Sons, Inc., New York (2000); MR1789474"},{"key":"81_CR14","doi-asserted-by":"crossref","first-page":"95","DOI":"10.1111\/j.1467-9868.2007.00623.x","volume":"70","author":"S. Ray","year":"2008","unstructured":"Ray, S., Lindsay, B.: Model selection in high dimensions: a quadratic-risk-based approach. Journal of Royal Statistical Society (B)\u00a070, 95\u2013118 (2008); MR2412633","journal-title":"Journal of Royal Statistical Society (B)"},{"key":"81_CR15","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.eswa.2006.04.005","volume":"33","author":"C. Romero","year":"2007","unstructured":"Romero, C., Ventura, S.: Educational Data Mining: A Survey from 1995 to 2005. Expert Systems with Applications\u00a033, 125\u2013146 (2007)","journal-title":"Expert Systems with Applications"},{"key":"81_CR16","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1214\/aos\/1176344136","volume":"6","author":"G. Schwarz","year":"1978","unstructured":"Schwarz, G.: Estimating the dimensions of a model. Annals of Statistics\u00a06, 461\u2013464 (1978); MR0468014","journal-title":"Annals of Statistics"},{"key":"81_CR17","volume-title":"Data Mining: Practical Machine Learning Tools and Techniques","author":"I.H. Witten","year":"2005","unstructured":"Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann, San Francisco (2005)","edition":"2"}],"container-title":["Lecture Notes in Computer Science","Convergence and Hybrid Information Technology"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-24082-9_81","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,11]],"date-time":"2025-03-11T18:22:13Z","timestamp":1741717333000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-24082-9_81"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642240812","9783642240829"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-24082-9_81","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}