Synthesis of clustering techniques in educational data mining

Dr. Bermel is widely-published in both scientific peer-reviewed journals and publications geared towards the general public. His work, which has been cited over 4400 times, for an h-index value of 24, includes the following topics: * Understanding and optimizing the detailed mechanisms of light trapping in thinfilm photovoltaics * Fabricating and characterizing 3D inverse opal photonic crystals made from silicon for photovoltaics, and comparing to theoretical predictions * Explaining key physical effects influencing selective thermal emitters in order to achieve high performance thermophotovoltaic systems

[1]  Richa Loohach,et al.  Effect of Distance Functions on Simple K-means Clustering Algorithm , 2012 .

[2]  Zachary A. Pardos,et al.  Spectral Clustering in Educational Data Mining , 2011, EDM.

[3]  Kenneth R. Koedinger,et al.  Discovering Student Models with a Clustering Algorithm Using Problem Content , 2013, EDM.

[4]  P. Golding,et al.  Predicting Academic Performance , 2006, Proceedings. Frontiers in Education. 36th Annual Conference.

[5]  A. Damodaram,et al.  Web Usage Data Clustering Using Dbscan Algorithm and Set Similarities , 2010, 2010 International Conference on Data Storage and Data Engineering.

[6]  Anil K. Jain Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..

[7]  R. L. Thorndike Who belongs in the family? , 1953 .

[8]  Candace Thille,et al.  The Future of Data-Enriched Assessment. , 2014 .

[9]  K. Yuen,et al.  The two-sample trimmed t for unequal population variances , 1974 .

[10]  H. J. Whitford,et al.  How to Use the Two Sample t‐Test , 1986 .

[11]  Robert F. Boruch,et al.  Moving Through MOOCs , 2014 .

[12]  Krishna Madhavan,et al.  Problems in Big Data Analytics in Learning , 2016 .

[13]  Greg Hamerly,et al.  Learning the k in k-means , 2003, NIPS.

[14]  Ismail M.A,et al.  Clustering Algorithms Applied in Educational Data Mining , 2015 .

[15]  Meena Mahajan,et al.  The Planar k-means Problem is NP-hard I , 2009 .

[16]  David J. C. MacKay,et al.  Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.

[17]  Siddharth Shah,et al.  Integrating analytics and surveys to understand fully engaged learners in a highly-technical STEM MOOC , 2016, 2016 IEEE Frontiers in Education Conference (FIE).

[18]  Sebastián Ventura,et al.  Educational Data Mining: A Review of the State of the Art , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[19]  Douglas Steinley,et al.  K-means clustering: a half-century synthesis. , 2006, The British journal of mathematical and statistical psychology.

[20]  Tobias Hecking,et al.  Analysis of Dynamic Resource Access Patterns in Online Courses , 2014, J. Learn. Anal..

[21]  C.,et al.  Educational Data mining for Prediction of Student Performance Using Clustering Algorithms , 2014 .

[22]  Pierre Hansen,et al.  NP-hardness of Euclidean sum-of-squares clustering , 2008, Machine Learning.

[23]  Paulo J. G. Lisboa,et al.  Finding reproducible cluster partitions for the k-means algorithm , 2013, BMC Bioinformatics.

[24]  Krishna Madhavan,et al.  Big Data Characterization of Learner Behaviour in a Highly Technical MOOC Engineering Course , 2016, J. Learn. Anal..

[25]  Robert Tibshirani,et al.  Estimating the number of clusters in a data set via the gap statistic , 2000 .

[26]  Michael I. Jordan,et al.  Distance Metric Learning with Application to Clustering with Side-Information , 2002, NIPS.

[27]  F KizilcecRené,et al.  Motivation as a Lens to Understand Online Learners , 2015 .

[28]  Anil K. Jain Data clustering: 50 years beyond K-means , 2010, Pattern Recognit. Lett..

[29]  Udoinyang G. Inyang,et al.  Fuzzy Clustering of Students' Data Repository for At-Risks Students Identification and Monitoring , 2013, Comput. Inf. Sci..

[30]  Mark Bullen,et al.  What is Instructional Design , 2014 .

[31]  Patrick Parslow,et al.  Dropout: MOOC participants’perspective , 2014 .

[32]  Meirav Galun,et al.  Fundamental Limitations of Spectral Clustering , 2006, NIPS.

[33]  Vincent Kanade,et al.  Clustering Algorithms , 2021, Wireless RF Energy Transfer in the Massive IoT Era.

[34]  Kyle DeFreitas,et al.  COMPARATIVE PERFORMANCE ANALYSIS OF CLUSTERING TECHNIQUES IN EDUCATIONAL DATA MINING , 2015 .