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44 Daftar Pustaka Baker, R.S.J.D., 2010, Data Mining for Education, International Encyclopedia of Education, Vol. 7, Hal. 112118. 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. 8792. 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. 200210. 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. 264323. Jain, A.K. 2010, Data Clustering: 50 Years beyond K-Means, Pattern Recognition Letters, Vol. 31, No. 8, Hal. 651666. 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. 1721. 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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Page 1: Daftar Pustaka - eprints.undip.ac.ideprints.undip.ac.id/66379/3/C._Daftar_Pustaka.pdf · Enhanced Analysis Model for Data Mining Processes in Higher Educational System, In ITHET 2005:

44

Daftar Pustaka

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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

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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,

Page 2: Daftar Pustaka - eprints.undip.ac.ideprints.undip.ac.id/66379/3/C._Daftar_Pustaka.pdf · Enhanced Analysis Model for Data Mining Processes in Higher Educational System, In ITHET 2005:

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