44 Daftar Pustaka Baker, R.S.J.D., 2010, Data Mining for Education, International Encyclopedia of Education, Vol. 7, Hal. 112–118. Bolenbaugh, L., dan Proctor, W.M., 1927, Relation of the Subjects Taken in High School to Success in College, The Journal of Educational Research, Vol. 15, No. 2, Hal. 87–92. Celebi, M.E., Kingravi, H.A. and Vela, P.A., 2013, A Comparative Study of Efficient Initialization Methods for the K-Means Clustering Algorithm, Expert Systems with Applications, Vol. 40, No. 1, Hal. 200–210. Delavari, N., Beikzadeh, M.R. and Phon-Amnuaisuk, S., 2005, Application of Enhanced Analysis Model for Data Mining Processes in Higher Educational System, In ITHET 2005: 6th International Conference on Information Technology Based Higher Education and Training, Vol. 2005. Jiawei, H. and Kamber, M., 2006, Data Mining: Concepts and Techniques. Soft Computing. Vol. 54. Jain, A. K., Murty, M.N. dan Flynn, P. J., 1999, Data Clustering: A Review, ACM Computing Surveys, Vol. 31, No. 3, Hal. 264–323. Jain, A.K. 2010, Data Clustering: 50 Years beyond K-Means, Pattern Recognition Letters, Vol. 31, No. 8, Hal. 651–666. Jiawei, H., Kamber, M. and Pei, J., 2012, Data Mining: Concepts and Techniques, Morgan Kaufmann Itd, San Francisco, CA Kabakchieva, D, and Stefanova, K., 2011, Data Mining Approach for Analyzing Student Profiles to Improve the University Marketing Policy, In 17th European Concurrent Engineering Conference 2011 ,Hal. 17–21. Kant, S., Mahara, T., Jain, V.K., Jain, D.K., and Sangaiah, A.K., 2017, LeaderRank Based K-Means Clustering Initialization Method for Collaborative Filtering,
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44
Daftar Pustaka
Baker, R.S.J.D., 2010, Data Mining for Education, International Encyclopedia of
Education, Vol. 7, Hal. 112–118.
Bolenbaugh, L., dan Proctor, W.M., 1927, Relation of the Subjects Taken in High
School to Success in College, The Journal of Educational Research, Vol. 15,
No. 2, Hal. 87–92.
Celebi, M.E., Kingravi, H.A. and Vela, P.A., 2013, A Comparative Study of
Efficient Initialization Methods for the K-Means Clustering Algorithm,
Expert Systems with Applications, Vol. 40, No. 1, Hal. 200–210.
Delavari, N., Beikzadeh, M.R. and Phon-Amnuaisuk, S., 2005, Application of
Enhanced Analysis Model for Data Mining Processes in Higher Educational
System, In ITHET 2005: 6th International Conference on Information
Technology Based Higher Education and Training, Vol. 2005.
Jiawei, H. and Kamber, M., 2006, Data Mining: Concepts and Techniques. Soft
Computing. Vol. 54.
Jain, A. K., Murty, M.N. dan Flynn, P. J., 1999, Data Clustering: A Review, ACM
Computing Surveys, Vol. 31, No. 3, Hal. 264–323.
Jain, A.K. 2010, Data Clustering: 50 Years beyond K-Means, Pattern Recognition
Letters, Vol. 31, No. 8, Hal. 651–666.
Jiawei, H., Kamber, M. and Pei, J., 2012, Data Mining: Concepts and Techniques,
Morgan Kaufmann Itd, San Francisco, CA
Kabakchieva, D, and Stefanova, K., 2011, Data Mining Approach for Analyzing
Student Profiles to Improve the University Marketing Policy, In 17th
European Concurrent Engineering Conference 2011 ,Hal. 17–21.