International Journal of Modern Education and Computer Science (IJMECS)

ISSN: 2075-0161 (Print), ISSN: 2075-017X (Online)

Published By: MECS Press

IJMECS Vol.4, No.2, Mar. 2012

Improve Teaching Method of Data Mining Course

Full Text (PDF, 311KB), PP.15-22

Views:181   Downloads:3


Sakha'a Al Manaseer,Areej Malibari

Index Terms

Data Mining;DM Project;DM Lab


It is clearly perceived that most of theoretical information we teach to students are lost after graduation, mostly because abstract information do not last in students' minds much longer than the final exams, as they are not related to practical aspects and uses. Though labs are useful, they are not enough as they only offer exercises, but the course benefits will highly increase if students implement theories and exercises on a real life project. Data mining (DM) is one of the core courses which Information Systems students start to use after graduation once they start their career life. This paper focuses on improving the teaching ways of the course we shall implement, in order to attain a better understanding and comprehension by the students to make it more useful in their future real life careers, and it demonstrates the improvements in students' marks average after applying main concepts to real data

Cite This Paper

Sakha'a Al Manaseer,Areej Malibari,"Improve Teaching Method of Data Mining Course", IJMECS, vol.4, no.2, pp.15-22, 2012.


[1] /course. Mat/Alex/.

[2]H. Karanikas and B. Theodoulidis, “Knowledge Discovery in Text and Text Mining Software,” Department of Computation, UMIST, Manchester, UK, Technical Report Centre for Research in Information Management (CRIM) , 2002.

[3]F. Troulakis, “Text Mining,” Department of Computation, UMIST, Manchester, Unpublished MSc thesis , 2000.

[4]Jiawei Han, Micheline Kamber and Jian Pei, Data Mining, 2nd ed., Morgan Kaufmann, 2005.

[5]R. Feldman and J. Sanger, The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data, London: Cambridge University Press, 2007.

[6Pang-Ning Tan, Michael Steinbach and Vipin Kumar, Introduction to Data Mining, Addison Wesley, 2005. 

[7]G. Stefanson, “Business-to-Business Data Sharing: A source for integration of supply chains,” Int’l Journal of Production Economics, 2002.

[8]Farrukh Saleem and Areej Malibari, “Data Mining Course in Information System Department– Case Study of King Abdul Aziz University,” 3rd International Congress on Engineering Education (ICEED), December 2011, Malaysia.

[9]Dr. Ibrahim Abdulmohsin Albidewi and Abdul Rauf, “Improvement in Course Curriculum forSoftware Project management,” 3rd International Congress on Engineering Education, December, 2011, Kuala Lumpur Malaysia.

[10], accessed date, 25th March, 2011.

[11]XindongWu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus Ng • Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael Steinbach, David J. Hand and Dan Steinberg, “Top 10 algorithms in data mining,” Knowl Inf Syst , 2007.

[12]Cabena, Hadjnian, Stadler, Verhees and Zanasi, Discovering Data Mining from Concept to Implementation, Prentice Hall, 1997.