Preliminary Overview of Data Mining Technology for Knowledge Management System in Institutions of Higher Learning
Data mining has been integrated into application systems to enhance the quality of the decision-making process. This study aims to focus on the integration of data mining technology and Knowledge Management System (KMS), due to the ability of data mining technology to create useful knowledge from large volumes of data. Meanwhile, KMS vitally support the creation and use of knowledge. The integration of data mining technology and KMS are popularly used in business for enhancing and sustaining organizational performance. However, there is a lack of studies that applied data mining technology and KMS in the education sector; particularly students- academic performance since this could reflect the IHL performance. Realizing its importance, this study seeks to integrate data mining technology and KMS to promote an effective management of knowledge within IHLs. Several concepts from literature are adapted, for proposing the new integrative data mining technology and KMS framework to an IHL.
[1] Eftekharzade, S. F., & Mohammadi, B., "The presentation of a suitable
model for creating knowledge management in Educational Institutes (Higher Education)", International Conference on Education and Educational Psychology, 2011, vol. 29, pp. 1001-1011.
[2] Rowley, J., "Is higher education ready for knowledge management?",
International Journal of Educational Management, 2000, vol. 14(7), pp.
325-333.
[3] Lubega, J. T., Omona, W., & Weide, T. V. D., "Knowledge management
technologies and higher education processes : approach to integration
for performance improvement", International Journal of Computing and
ICT Research, 2011, vol. 5(Special Issue), pp. 55-68.
[4] Abdullah, R., Sahibuddin, S., Alias, R. A., & Selamat, M. H.,
"Knowledge management system architecture for organizational
learning with collaborative environment", International Journal of
Computer Science and Network Security, 2006, vol. 6(3), pp. 237-246.
[5] Liebowitz, J., "Knowledge management and its link to artificial
intelligence", Expert Systems with Applications, 2001, vol. 20, pp. 1-6.
[6] An, X., & Wang, W., "Knowledge management technologies and
applications: a literature review", IEEE International Conference on
Advanced Management Science (ICAMS), 2010, pp. 138-141.
[7] Lu, R., & Liu, J., "The research of the knowledge management
technology in the education", International Symposium on Knowledge
Acquisition and Modeling, 2008, pp. 551-554.
[8] Albena, A., & Elissaveta, G., "Insight into practical utilization of
knowledge management technologies", IEEE John Vincent Atanasoff
International Symposium on Modern Computing (JVA-06), 2006, pp.
169-174.
[9] Woodman, M., & Zade, A., "Five grounded principles for developing knowledge management systems", The Electronic Journal of Knowledge Management, 2012, vol. 10(2), pp. 183-194.
[10] Edwards, J. S., Business Processes and Knowledge Management.
Encyclopedia of Information Science and Technology (2nd ed.),
Herchey, PA: IGI Global, 2009, pp. 471 - 476.
[11] Edwards, J. S., Shaw, D., & Collier, P. M., "Knowledge management
systems: finding a way with technology". Journal of Knowledge
Management, 2005, vol. 9(1), pp. 113-125.
[12] Alavi, M., & Leidner, D. E., "Knowledge management systems: issues,
challenges and benefits, Communications of the Association for
Information System, 1999, vol. 1(7), pp. 1-37.
[13] Alavi, M., & Leidner, D. E., "Review: knowledge management and
knowledge management systems: conceptual foundations and research
issues. MIS Quarterly, 2001, vol. 25(1), pp.107-136.
[14] Antonova, A., Gourova, E., & Nikolov, R., "Review of technology
solutions for knowledge management", 2nd IET International
Conference on Intelligent Environments, Greece, 2006, pp. 39-44.
[15] Wang, F., & Fan, H., "Investigation on technology systems for
knowledge management", 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008, pp. 1-4.
[16] Henselewski, M., Smolnik, S., & Riempp, G., "Evaluation of knowledge
management technologies for the support of technology forecasting",
Proceedings of the 39th Hawaii International Conference on System
Sciences, 2006, pp. 1-10.
[17] Ghani, S. R., "Knowledge management : tools and techniques",
Journal of Library & Information Technology, 2009, vol. 29(6), pp. 33-
38.
[18] Kebao, W., & Junxun, D., "Knowledge management technologies in
education", International Symposium on Knowledge Acquisition and
Modeling, 2008, pp. 93-97.
[19] Aghajari, N., "Comparison of knowledge management technologies in
academic environment" International Conference on Education and
Management Technology, 2010, pp. 453-455.
[20] Sassenberg, C., Weber, C., Fathi, M., & Montino, R., "A data mining
based knowledge management approach for the semiconductor
industry", International Conference on Electro/Information Technology,
2009, pp. 72-77.
[21] Mamcenko, J., & Beleviciute, I., "Data mining for knowledge
management in technology enhanced learning", Proceedings of the 6th
WSEAS International Conference on Applications of Electrical Engineering, 2007, pp. 115-119.
[22] Laal, M., "Knowledge management in higher education", Procedia
Computer Science, Elsevier, 2011, vol. 3, pp. 544-549.
[23] Romero, C., & Ventura, S., "Educational data mining : a review of the
state of the art", IEEE Transactions on Systems, Man, and Cybernetics,
2010, vol. 40(6), pp. 601-618.
[24] Cranfield, D. J., & Taylor, J., "Knowledge management and higher education : a UK case study", The Electronic Journal of Knowledge
Management, 2008, vol. 6(2), pp. 85-100.
[25] Amin, N. W. G., “Higher education in Sudan and knowledge
management applications”, 2nd International Conference on
Information & Communication Technologies, 2006, vol. 1, pp. 60–65.
[26] Cranfield, D. J., Knowledge Management and Higher Education: A UK
Case Study using Grounded Theory, PhD Thesis, University of
Southampton. 2011.
[27] Byrne, M., & Flood, B., “Examining the relationships among
background variables and academic performance of first year accounting
students at an Irish University”, Journal of Accounting Education, 2008,
vol. 26(4), pp. 202–212.
[28] Mohayidin, M. G., Azirawani, N., Kamaruddin, M. N., & Idawati, M.,
“The application of knowledge management in enhancing the
performance of Malaysian Universities, The Electronic Journal of
Knowledge Management, 2007, vol. 5(3), pp. 301–312.
[29] Lifang, L., & Ziling, Q., “On knowledge management in higher
education”, IEEE International Conference on Product Innovation
Management (ICPIM 2011), 2011, pp. 177–179.
[30] Ranjan, J., & Khalil, S., “Application of knowledge management in
management education: a conceptual framework”, Journal of
Theoretical and Applied Information Technology, 2007, pp. 15–25.
[31] Bhusry, M., & Ranjan, J., “Implementing knowledge management in
higher educational institutions in India: a conceptual framework”,
International Journal of Computer Applications, 2011, vol. 29(1), pp.
34–46.
[32] Pircher, R., & Pausits, A., “Information and knowledge management at
higher education institutions”, Management Information Systems, 2011,
vol. 6(2), pp. 008 – 016.
[33] Deng, Z., “A probe into the educational knowledge management and
teachers’ professional development”, 2nd International Conference on
Artificial Intelligence, Management Science and Electronic Commerce
(AIMSEC), 2011, pp. 4521–4523.
[34] Ramakrishnan, K., & Yasin, N. M., “Knowledge management system
and higher education institutions”, International Conference on
Information and Network Technology (ICINT 2012), 2012, vol. 37, pp.
67–71.
[35] Wang, X., & Xu, F., “Study on knowledge management system based on
MAS”, International Conference on Networking and Digital Society,
2010, pp. 395–398.
[36] Lee, M., “Linkage knowledge management and data mining in Ebusiness:
case study”, INTECH, 2011, pp. 111–136.
[37] Allameh, S. M., Zare, S. M., & Davoodi, S. M. R., “Examining the
impact of KM enablers on knowledge management processes”, Procedia
Computer Science, 2011, vol. 3, pp. 1211–1223.
[38] Sun, P., “Five critical knowledge management organizational themes”,
Journal of Knowledge Management, 2010, vol. 14(4), pp. 507–523.
[39] Supyuenyong, V., & Islam, N., “Knowledge management architecture:
building blocks and their relationships”, Technology Management for
the Global Future, 2006, pp. 1210 – 1219.
[40] Bergeron, B., Essentials of Knowledge Management, New Jersey: John
Wiley & Sons, Inc., 2003, pp. 227.
[41] Nonaka, I., & Takeuchi, H., The Knowledge-creating Company, New
York: Oxford University Press, 1995, vol. 3.
[42] Salisbury, M. W., “Putting theory into practice to build knowledge
management systems”, Journal of Knowledge Management, 2003, vol.
7(2), pp. 128 – 141.
[43] Metaxiotis, K., & Psarras, J., “Applying knowledge management in
higher education: the creation of a learning organization”, Journal of
Information & Knowledge Management, 2003, vol. 02(04), pp. 353–359.
[44] Oprea, C., & Zaharia, M., “Using data mining methods in knowledge
management in educational field”, Fascicle of Management and
Technological Engineering, 2011, pp. 222–227.
[45] Dawei, J., “The application of data mining in knowledge management”,
International Conference on Management of e-Commerce and e-
Government, 2011.
[46] Fayyad, U., Piatetsky-shapiro, G., & Smyth, P., “From data mining to
knowledge discovery in databases”, AI MAGAZINE, 1996, pp. 37–54.
[47] Lindvall, M., Rus, I., & Sinha, S. S., “Software systems support for
knowledge management”, Journal of Knowledge Management, 2003,
vol. 7(5), pp. 137–150.
[48] Romero, C., Ventura, S., & García, E., “Data mining in course
management systems: Moodle case study and tutorial”, Computers &
Education, 2008, vol. 51(1), pp. 368–384.
[49] Baradwaj, B. K., & Pal, S., “Mining educational data to analyze
students’ performance”, International Journal of Advanced Computer
Science and Application, 2008, vol. 2(6), pp. 63–69.
[50] Siraj, F., & Abdoulha, M. A., “Mining enrolment data using predictive
and descriptive approaches”, Knowledge-Oriented Applications in Data
Mining, 2007, pp. 53 – 72.
[51] Kumar, V., & Chadha, A., “An empirical study of the applications of
data mining techniques in higher education”, International Journal of
Advanced Computer Science and Applications, 2011, vol. 2(3), pp. 80–
84.
[52] Ogor, E. N., “Student academic performance monitoring and evaluation
using data mining techniques”, Fourth Congress of Electronics,
Robotics and Automotive Mechanics, 2007, pp. 1–5.
[53] Yadav, S. K., Bharadwaj, B., & Pal, S., “Data mining applications: a
comparative study for predicting student’s performance”, International
Journal of Innovative Technology & Creative Engineering, 2011, vol.
1(12), pp. 13–19.
[54] Moucary, C. E., Khair, M., & Zakhem, W., “Improving student’s
performance using data clustering and neural networks in foreignlanguage
based higher education”, The Research Bulletin of Jordan
ACM, 2011, vol. 2(3), pp. 27 – 34.
[55] Sembiring, S., Zarlis, M., Hartama, D., & Wani, E., “Prediction of
student academic performance by an application of data mining
techniques”, International Conference on Management and Artificial
Intelligence, 2011, vol. 6, pp. 110–114.
[56] Tair, M. M. A., & El-halees, A. M., “Mining educational data to
improve students’ performance: a case study”, International Journal of
Information and Communication Technology Research, 2012, vol. 2(2),
pp. 140–146.
[57] Delavari, N., Phon-Amnuaisuk, S., & Beikzadeh, M. R., “Data mining
application in higher learning institutions”, Informatics in Education,
2008, vol. 7(1), pp. 31–54.
[58] Vialardi, C., Bravo, J., Shafti, L., & Ortigosa, A., “Recommendation in
higher education using data mining techniques”, Conference of
Educational Data Mining, 2009, pp. 190–199.
[59] Shannaq, B., Rafael, Y., & Alexandro, V., “Student relationship in
higher education using data mining techniques”, Global Journal of
Computer Science and Technology, 2010, vol. 10(11), pp. 54–59.
[60] Kovačić, Z. J., “Early prediction of student success: mining students
enrolment data”, Proceedings of Information Science & IT Education
Conference, 2010.
[61] Susnea, E., “Data mining techniques used in on-line military training”,
The 7th International Scientific Conference eLearning and Software for
Education, 2011, pp. 1 – 5.
[62] Lodhi, B., Jalori, S., & Namdeo, V., “Result analysis by decision tree,
decision table and RBF network”, Journal Computer & Mathematical
Sciences, 2011, vol. 2(3), pp. 435–443.
[63] Ramasubramanian, P., Iyakutti, K., & Thangavelu, P., “Enhanced data
mining analysis in higher educational system using rough set theory”,
African Journal of Mathematics and Computer Science Research, 2009,
vol. 2(9), pp. 184–188.
[64] Madhyastha, T., & Hunt, E., “Mining diagnostic assessment data for
concept similarity”, Journal of Educational Data Mining, 2009, vol.
1(1), pp. 1–19.
[65] Jing, F., & Shiying, K., “Application of data mining for emotional
intelligence based on cluster analysis”, IEEE International Conference
on Artificial Intelligence and Education (ICAIE), 2010, pp. 512–515.
[66] Ayesha, S., Mustafa, T., Sattar, A. R., & Khan, M. I., “Data mining
model for higher education system”, European Journal of Scientific
Research, 2010, vol. 43(1), pp. 24–29.
[67] Oyelade, O. J., Oladipupo, O. O., & Obagbuwa, I. C., “Application of kmeans
clustering algorithm for prediction of students’ academic
performance”, International Journal of Computer Science and
Information Security, 2010, vol. 7(1), pp. 292–295.
[68] Oladipupo, O. O., & Oyelade, O. J., “Knowledge discovery from
students’ result repository: association rule mining approach”,
International Journal of Computer Science & Security, 2009, vol. 4(2),
pp. 199–207.
[69] Buldu, A., & Üçgün, K., “Data mining application on students’ data”,
Procedia - Social and Behavioral Sciences, 2010, vol. 2(2), pp. 5251–
5259.
[70] Mardikyan, S., & Badur, B., “Analyzing teaching performance of
instructors using data mining techniques”, Informatics in Education,
2011, vol. 10(2), pp. 245–257.
[71] Sreenivasarao, V., & Yohannes, G., “Improving academic performance
of students of Defence University based on data warehouseing and data
mining”, Global Journal of Computer Science and Technology, 2012,
vol. 12(2), pp. 29 – 36.
[1] Eftekharzade, S. F., & Mohammadi, B., "The presentation of a suitable
model for creating knowledge management in Educational Institutes (Higher Education)", International Conference on Education and Educational Psychology, 2011, vol. 29, pp. 1001-1011.
[2] Rowley, J., "Is higher education ready for knowledge management?",
International Journal of Educational Management, 2000, vol. 14(7), pp.
325-333.
[3] Lubega, J. T., Omona, W., & Weide, T. V. D., "Knowledge management
technologies and higher education processes : approach to integration
for performance improvement", International Journal of Computing and
ICT Research, 2011, vol. 5(Special Issue), pp. 55-68.
[4] Abdullah, R., Sahibuddin, S., Alias, R. A., & Selamat, M. H.,
"Knowledge management system architecture for organizational
learning with collaborative environment", International Journal of
Computer Science and Network Security, 2006, vol. 6(3), pp. 237-246.
[5] Liebowitz, J., "Knowledge management and its link to artificial
intelligence", Expert Systems with Applications, 2001, vol. 20, pp. 1-6.
[6] An, X., & Wang, W., "Knowledge management technologies and
applications: a literature review", IEEE International Conference on
Advanced Management Science (ICAMS), 2010, pp. 138-141.
[7] Lu, R., & Liu, J., "The research of the knowledge management
technology in the education", International Symposium on Knowledge
Acquisition and Modeling, 2008, pp. 551-554.
[8] Albena, A., & Elissaveta, G., "Insight into practical utilization of
knowledge management technologies", IEEE John Vincent Atanasoff
International Symposium on Modern Computing (JVA-06), 2006, pp.
169-174.
[9] Woodman, M., & Zade, A., "Five grounded principles for developing knowledge management systems", The Electronic Journal of Knowledge Management, 2012, vol. 10(2), pp. 183-194.
[10] Edwards, J. S., Business Processes and Knowledge Management.
Encyclopedia of Information Science and Technology (2nd ed.),
Herchey, PA: IGI Global, 2009, pp. 471 - 476.
[11] Edwards, J. S., Shaw, D., & Collier, P. M., "Knowledge management
systems: finding a way with technology". Journal of Knowledge
Management, 2005, vol. 9(1), pp. 113-125.
[12] Alavi, M., & Leidner, D. E., "Knowledge management systems: issues,
challenges and benefits, Communications of the Association for
Information System, 1999, vol. 1(7), pp. 1-37.
[13] Alavi, M., & Leidner, D. E., "Review: knowledge management and
knowledge management systems: conceptual foundations and research
issues. MIS Quarterly, 2001, vol. 25(1), pp.107-136.
[14] Antonova, A., Gourova, E., & Nikolov, R., "Review of technology
solutions for knowledge management", 2nd IET International
Conference on Intelligent Environments, Greece, 2006, pp. 39-44.
[15] Wang, F., & Fan, H., "Investigation on technology systems for
knowledge management", 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008, pp. 1-4.
[16] Henselewski, M., Smolnik, S., & Riempp, G., "Evaluation of knowledge
management technologies for the support of technology forecasting",
Proceedings of the 39th Hawaii International Conference on System
Sciences, 2006, pp. 1-10.
[17] Ghani, S. R., "Knowledge management : tools and techniques",
Journal of Library & Information Technology, 2009, vol. 29(6), pp. 33-
38.
[18] Kebao, W., & Junxun, D., "Knowledge management technologies in
education", International Symposium on Knowledge Acquisition and
Modeling, 2008, pp. 93-97.
[19] Aghajari, N., "Comparison of knowledge management technologies in
academic environment" International Conference on Education and
Management Technology, 2010, pp. 453-455.
[20] Sassenberg, C., Weber, C., Fathi, M., & Montino, R., "A data mining
based knowledge management approach for the semiconductor
industry", International Conference on Electro/Information Technology,
2009, pp. 72-77.
[21] Mamcenko, J., & Beleviciute, I., "Data mining for knowledge
management in technology enhanced learning", Proceedings of the 6th
WSEAS International Conference on Applications of Electrical Engineering, 2007, pp. 115-119.
[22] Laal, M., "Knowledge management in higher education", Procedia
Computer Science, Elsevier, 2011, vol. 3, pp. 544-549.
[23] Romero, C., & Ventura, S., "Educational data mining : a review of the
state of the art", IEEE Transactions on Systems, Man, and Cybernetics,
2010, vol. 40(6), pp. 601-618.
[24] Cranfield, D. J., & Taylor, J., "Knowledge management and higher education : a UK case study", The Electronic Journal of Knowledge
Management, 2008, vol. 6(2), pp. 85-100.
[25] Amin, N. W. G., “Higher education in Sudan and knowledge
management applications”, 2nd International Conference on
Information & Communication Technologies, 2006, vol. 1, pp. 60–65.
[26] Cranfield, D. J., Knowledge Management and Higher Education: A UK
Case Study using Grounded Theory, PhD Thesis, University of
Southampton. 2011.
[27] Byrne, M., & Flood, B., “Examining the relationships among
background variables and academic performance of first year accounting
students at an Irish University”, Journal of Accounting Education, 2008,
vol. 26(4), pp. 202–212.
[28] Mohayidin, M. G., Azirawani, N., Kamaruddin, M. N., & Idawati, M.,
“The application of knowledge management in enhancing the
performance of Malaysian Universities, The Electronic Journal of
Knowledge Management, 2007, vol. 5(3), pp. 301–312.
[29] Lifang, L., & Ziling, Q., “On knowledge management in higher
education”, IEEE International Conference on Product Innovation
Management (ICPIM 2011), 2011, pp. 177–179.
[30] Ranjan, J., & Khalil, S., “Application of knowledge management in
management education: a conceptual framework”, Journal of
Theoretical and Applied Information Technology, 2007, pp. 15–25.
[31] Bhusry, M., & Ranjan, J., “Implementing knowledge management in
higher educational institutions in India: a conceptual framework”,
International Journal of Computer Applications, 2011, vol. 29(1), pp.
34–46.
[32] Pircher, R., & Pausits, A., “Information and knowledge management at
higher education institutions”, Management Information Systems, 2011,
vol. 6(2), pp. 008 – 016.
[33] Deng, Z., “A probe into the educational knowledge management and
teachers’ professional development”, 2nd International Conference on
Artificial Intelligence, Management Science and Electronic Commerce
(AIMSEC), 2011, pp. 4521–4523.
[34] Ramakrishnan, K., & Yasin, N. M., “Knowledge management system
and higher education institutions”, International Conference on
Information and Network Technology (ICINT 2012), 2012, vol. 37, pp.
67–71.
[35] Wang, X., & Xu, F., “Study on knowledge management system based on
MAS”, International Conference on Networking and Digital Society,
2010, pp. 395–398.
[36] Lee, M., “Linkage knowledge management and data mining in Ebusiness:
case study”, INTECH, 2011, pp. 111–136.
[37] Allameh, S. M., Zare, S. M., & Davoodi, S. M. R., “Examining the
impact of KM enablers on knowledge management processes”, Procedia
Computer Science, 2011, vol. 3, pp. 1211–1223.
[38] Sun, P., “Five critical knowledge management organizational themes”,
Journal of Knowledge Management, 2010, vol. 14(4), pp. 507–523.
[39] Supyuenyong, V., & Islam, N., “Knowledge management architecture:
building blocks and their relationships”, Technology Management for
the Global Future, 2006, pp. 1210 – 1219.
[40] Bergeron, B., Essentials of Knowledge Management, New Jersey: John
Wiley & Sons, Inc., 2003, pp. 227.
[41] Nonaka, I., & Takeuchi, H., The Knowledge-creating Company, New
York: Oxford University Press, 1995, vol. 3.
[42] Salisbury, M. W., “Putting theory into practice to build knowledge
management systems”, Journal of Knowledge Management, 2003, vol.
7(2), pp. 128 – 141.
[43] Metaxiotis, K., & Psarras, J., “Applying knowledge management in
higher education: the creation of a learning organization”, Journal of
Information & Knowledge Management, 2003, vol. 02(04), pp. 353–359.
[44] Oprea, C., & Zaharia, M., “Using data mining methods in knowledge
management in educational field”, Fascicle of Management and
Technological Engineering, 2011, pp. 222–227.
[45] Dawei, J., “The application of data mining in knowledge management”,
International Conference on Management of e-Commerce and e-
Government, 2011.
[46] Fayyad, U., Piatetsky-shapiro, G., & Smyth, P., “From data mining to
knowledge discovery in databases”, AI MAGAZINE, 1996, pp. 37–54.
[47] Lindvall, M., Rus, I., & Sinha, S. S., “Software systems support for
knowledge management”, Journal of Knowledge Management, 2003,
vol. 7(5), pp. 137–150.
[48] Romero, C., Ventura, S., & García, E., “Data mining in course
management systems: Moodle case study and tutorial”, Computers &
Education, 2008, vol. 51(1), pp. 368–384.
[49] Baradwaj, B. K., & Pal, S., “Mining educational data to analyze
students’ performance”, International Journal of Advanced Computer
Science and Application, 2008, vol. 2(6), pp. 63–69.
[50] Siraj, F., & Abdoulha, M. A., “Mining enrolment data using predictive
and descriptive approaches”, Knowledge-Oriented Applications in Data
Mining, 2007, pp. 53 – 72.
[51] Kumar, V., & Chadha, A., “An empirical study of the applications of
data mining techniques in higher education”, International Journal of
Advanced Computer Science and Applications, 2011, vol. 2(3), pp. 80–
84.
[52] Ogor, E. N., “Student academic performance monitoring and evaluation
using data mining techniques”, Fourth Congress of Electronics,
Robotics and Automotive Mechanics, 2007, pp. 1–5.
[53] Yadav, S. K., Bharadwaj, B., & Pal, S., “Data mining applications: a
comparative study for predicting student’s performance”, International
Journal of Innovative Technology & Creative Engineering, 2011, vol.
1(12), pp. 13–19.
[54] Moucary, C. E., Khair, M., & Zakhem, W., “Improving student’s
performance using data clustering and neural networks in foreignlanguage
based higher education”, The Research Bulletin of Jordan
ACM, 2011, vol. 2(3), pp. 27 – 34.
[55] Sembiring, S., Zarlis, M., Hartama, D., & Wani, E., “Prediction of
student academic performance by an application of data mining
techniques”, International Conference on Management and Artificial
Intelligence, 2011, vol. 6, pp. 110–114.
[56] Tair, M. M. A., & El-halees, A. M., “Mining educational data to
improve students’ performance: a case study”, International Journal of
Information and Communication Technology Research, 2012, vol. 2(2),
pp. 140–146.
[57] Delavari, N., Phon-Amnuaisuk, S., & Beikzadeh, M. R., “Data mining
application in higher learning institutions”, Informatics in Education,
2008, vol. 7(1), pp. 31–54.
[58] Vialardi, C., Bravo, J., Shafti, L., & Ortigosa, A., “Recommendation in
higher education using data mining techniques”, Conference of
Educational Data Mining, 2009, pp. 190–199.
[59] Shannaq, B., Rafael, Y., & Alexandro, V., “Student relationship in
higher education using data mining techniques”, Global Journal of
Computer Science and Technology, 2010, vol. 10(11), pp. 54–59.
[60] Kovačić, Z. J., “Early prediction of student success: mining students
enrolment data”, Proceedings of Information Science & IT Education
Conference, 2010.
[61] Susnea, E., “Data mining techniques used in on-line military training”,
The 7th International Scientific Conference eLearning and Software for
Education, 2011, pp. 1 – 5.
[62] Lodhi, B., Jalori, S., & Namdeo, V., “Result analysis by decision tree,
decision table and RBF network”, Journal Computer & Mathematical
Sciences, 2011, vol. 2(3), pp. 435–443.
[63] Ramasubramanian, P., Iyakutti, K., & Thangavelu, P., “Enhanced data
mining analysis in higher educational system using rough set theory”,
African Journal of Mathematics and Computer Science Research, 2009,
vol. 2(9), pp. 184–188.
[64] Madhyastha, T., & Hunt, E., “Mining diagnostic assessment data for
concept similarity”, Journal of Educational Data Mining, 2009, vol.
1(1), pp. 1–19.
[65] Jing, F., & Shiying, K., “Application of data mining for emotional
intelligence based on cluster analysis”, IEEE International Conference
on Artificial Intelligence and Education (ICAIE), 2010, pp. 512–515.
[66] Ayesha, S., Mustafa, T., Sattar, A. R., & Khan, M. I., “Data mining
model for higher education system”, European Journal of Scientific
Research, 2010, vol. 43(1), pp. 24–29.
[67] Oyelade, O. J., Oladipupo, O. O., & Obagbuwa, I. C., “Application of kmeans
clustering algorithm for prediction of students’ academic
performance”, International Journal of Computer Science and
Information Security, 2010, vol. 7(1), pp. 292–295.
[68] Oladipupo, O. O., & Oyelade, O. J., “Knowledge discovery from
students’ result repository: association rule mining approach”,
International Journal of Computer Science & Security, 2009, vol. 4(2),
pp. 199–207.
[69] Buldu, A., & Üçgün, K., “Data mining application on students’ data”,
Procedia - Social and Behavioral Sciences, 2010, vol. 2(2), pp. 5251–
5259.
[70] Mardikyan, S., & Badur, B., “Analyzing teaching performance of
instructors using data mining techniques”, Informatics in Education,
2011, vol. 10(2), pp. 245–257.
[71] Sreenivasarao, V., & Yohannes, G., “Improving academic performance
of students of Defence University based on data warehouseing and data
mining”, Global Journal of Computer Science and Technology, 2012,
vol. 12(2), pp. 29 – 36.
@article{"International Journal of Business, Human and Social Sciences:60640", author = "Muslihah Wook and Zawiyah M. Yusof and Mohd Zakree Ahmad Nazri", title = "Preliminary Overview of Data Mining Technology for Knowledge Management System in Institutions of Higher Learning", abstract = "Data mining has been integrated into application systems to enhance the quality of the decision-making process. This study aims to focus on the integration of data mining technology and Knowledge Management System (KMS), due to the ability of data mining technology to create useful knowledge from large volumes of data. Meanwhile, KMS vitally support the creation and use of knowledge. The integration of data mining technology and KMS are popularly used in business for enhancing and sustaining organizational performance. However, there is a lack of studies that applied data mining technology and KMS in the education sector; particularly students- academic performance since this could reflect the IHL performance. Realizing its importance, this study seeks to integrate data mining technology and KMS to promote an effective management of knowledge within IHLs. Several concepts from literature are adapted, for proposing the new integrative data mining technology and KMS framework to an IHL.
", keywords = "Data mining, Institutions of Higher Learning, Knowledge Management System, Students' academic performance.", volume = "7", number = "2", pages = "444-6", }
