1. bookVolume 12 (2017): Issue 2 (December 2017)
Journal Details
First Published
01 Jul 2005
Publication timeframe
2 times per year
Open Access


Published Online: 11 May 2018
Volume & Issue: Volume 12 (2017) - Issue 2 (December 2017)
Page range: 188 - 217
Journal Details
First Published
01 Jul 2005
Publication timeframe
2 times per year

[1] M. Agaoglu, “Predicting Instructor Performance Using Data Mining Techniques in Higher Education”. In IEEE Access, May 2016.10.1109/ACCESS.2016.2568756Search in Google Scholar

[2] T. Xie, Q. Zheng, W. Zhang, H, Qu, “Modeling and Predicting the Active Video - Viewing Time in a Large - Scale E - Learning System”.In IEEE Access, June 2017.10.1109/ACCESS.2017.2717858Search in Google Scholar

[3] A. M. Njeru, M. S. Omar, S. Yi, “IoTs for Capturing and Mastering Massive Data Online Learning Courses”. In IEEE Computer Society, ICIS, Wuhan, China, May 2017.10.1109/ICIS.2017.7959975Search in Google Scholar

[4] R. Heartfield, G. Loukas, D. Gan, “You are probably not the weakest link: Towards Practical Prediction of Susceptibility to Semantic Social Engineering Attacks”. In IEEE Access, October 2016.10.1109/ACCESS.2016.2616285Search in Google Scholar

[5] E. J. Fortuny, D. Martens, “Active Learning - Based Pedagogical Rule Extraction”. In IEEE Transaction on Neural Network and Learning Systems, Vol. 26, No. 11, November 2015.10.1109/TNNLS.2015.2389037Search in Google Scholar

[6] A. Mukhopadhyay, S. Bandyopadhyay, “A Survey of Multiobjective Evolutionary Algorithms for Data Mining: Part I”. In IEEE Transaction on Evolutionary Computation, Vol. 18, No. 1, February 2014.10.1109/TEVC.2013.2292181Open DOISearch in Google Scholar

[7] Zh. Song, A. Kusiak, “Optimization of Temporal Processess: A Model Predictive Control Approach”. In IEEE Transaction on Evolutionary Computation, Vol. 13, No. 1, February 2009.10.1109/TEVC.2008.920680Search in Google Scholar

[8] S. Malgaonkar, S. Soral, Sh. Sumeet, T. Parekhji, “Study on Big Data Analytics Research Domain”. In International Conference on Reliability, Infocom Technologies and Optimization ICRITO,Noida, India, September 2016.10.1109/ICRITO.2016.7784952Search in Google Scholar

[9]K. P. Anicic, B. Divjak, K. Arbanas, “Preparint ICT Graduates for Real - World Challenges: Results of a Meta - Analysis”. In IEEE Transactions on Education, Vol 60, No. 3, August 2017.10.1109/TE.2016.2633959Search in Google Scholar

[10] A. Haskova, D. V. Merode, “Professional Training in Embedded Systems and its Promotion”. In IEEE Transacions on Education, 2016.10.1109/ICAICT.2016.7991800Search in Google Scholar

[11] S.C. Smith, W. K. Al-Assadi, J. Di, “Integrating Asynchronous Digital Design into the Computer Engineering Curriculum”. In IEEE Transactions on Education, Vol. 53, No. 3, August 2010.10.1109/TE.2009.2021391Search in Google Scholar

[12] M. D. Koretsky, D. Amatore, C. Barnes, Sh. Kimura, “Enhancement of Student Learning in Experimental Design Using a Virtual Laboratory”. In IEEE Transactions on Education, Vol. 51, No. 1, February 2008.10.1109/TE.2007.906894Search in Google Scholar

[13] B. G. Member, V. S. Sheng, K. Y. Tay, W. Romano, Sh. Li, “Incremental Support Vector Learning for Ordinal Regression”. In IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 7, July 2015.10.1109/TNNLS.2014.2342533Search in Google Scholar

[14] J. Li, T. Zhang, W. Luo, J. Yang, X. T. Yuan, J. Zhang, “Sparseness Analysis in the Pretraining of Deep Neural Networks”. In IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 6, June 2017.10.1109/TNNLS.2016.2541681Search in Google Scholar

[15] Y. Qian, F. Li, J. Liang, B. Liu, Ch. Dang, “Space Structure and Clustering of Categorical Data”. In IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 10, October 2016.10.1109/TNNLS.2015.2451151Search in Google Scholar

[16] Y. Xiao, B. Liu, Zh. Hao, “A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering”. In IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, No. 5, May 2016.10.1109/TNNLS.2015.2434960Search in Google Scholar

[17] B. Gu, V. S. Sheng, K. Y. Tay, W. Romano, Sh. Li, “Incremental Support Vector Learning for Ordinal Regression”. In IEEE Transactions on Neural Networks and Learning Systems, Vol. 26, No. 7, July 2015.10.1109/TNNLS.2014.2342533Search in Google Scholar

[18] P. Navrat, L. Molnar, “Curricula Transformation in the Countries in Transition: An Experience from Slovakia”. In IEEE Transactions on Education, Vol. 41, No. 2, May 1998.10.1109/13.669716Search in Google Scholar

[19] S. Nalintippayawong, K. Atchariyachanvanich, “IT Management Status in Public Higher Education Institutions in Thailand”. In IEEE ICIS 2016, June 26-29, 2016, Okayama, Japan.10.1109/ICIS.2016.7550811Search in Google Scholar

[20] J. I. Godino - Llorente, R. Fraile, J. C. Gonzales de Sante, V. Osma - Ruiz, N. Saenz - Lechon, ““Design for All in the Context of the Information Society”: Integration of a Specialist Course in a Generalist M.Sc. Program in Electrical and Electronics Engineering”. In IEEE Transactions on Education, Vol. 55, No. 1, February 2012.10.1109/TE.2011.2143714Search in Google Scholar

[21] M. Dolores Cano, “Students’ Involvement in Continuous Assessment Methodologies: A Case Study for a Distributed Information Systems Course”. In IEEE Transactions on Education, Vol. 54, No. 3, August 2011.10.1109/TE.2010.2073708Search in Google Scholar

[22] Y. He, Ch. Wang, Ch. Jiang, “Mining Coherent Topics with Pre-Learned Interest Knowledge in Twitter”. In IEEE Access, June 2017.10.1109/ACCESS.2017.2696558Search in Google Scholar

[23] H. Pirkkalainen, J. P. P. Jokinen, J. M. Pawlowski, “Understanding Social OER Environments-A Quantitative Study on Factors Influencing the Motivation to Share and Collaborate”. In IEEE Transactions on Learning Technologies, Vol. 7, No. 4, October-December 2014.10.1109/TLT.2014.2323970Search in Google Scholar

[24] G. Goth, “Network-Enabled Compulsory Education Getting Big Push”. In IEEE Computer Society, February 2009.10.1109/MIC.2009.12Search in Google Scholar

[25] R. Mehmood, F. Alam, N. N. Albogami, I. Katib, A. Albeshri, S. M. Altowaijri, “UTiLearn: A Personalised Ubiquitous Teaching and Learning System for Smart Societies”. In IEEE Access, February 2017.10.1109/ACCESS.2017.2668840Search in Google Scholar

[26] J. J. Guerrero, L. A. Guerrero, “A Virtual Repository of Learning Objects to Support Literacy of SEN Children”. In IEEE Revista Iberoamericana De Tecnologias Del Aprendizaje, Vol. 10, No. 3, August 2015.10.1109/RITA.2015.2452712Search in Google Scholar

[27] A. A. Choudhury, J. Rodriguez, “A New Curriculum in Fluid Mechanics for the Millennial Generation”. In IEEE Revista Iberoamericana De Tecnologias Del Aprendizaje, Vol. 12, No. 1, February 2017.10.1109/RITA.2017.2658958Search in Google Scholar

[28] A. Sethi, “Factors Responsible for Mismatch between Demand and Supply of Requisite Skill in India”. In IJARIIE-ISSN (O)-2395-4396, Vol. 3, Issue 3, 2017.Search in Google Scholar

[29] L. Anastasiu, A. Anastasiu, M. Dumitran, C. Crizboi, A. Homaghi, M. N. Roman, “How to Align the University Curricula with the Market Demands by Developing Employability Skills in the Civil Engineering Sector”. In Education Sciences, doi: 10.3390/educsci7030074, July 2017.Search in Google Scholar

[30] K. P. Anicic, B. Divjak, K. Arbanas, “Preparing ICT Graduates for Real - World Challenges: Results of Meta - Analysis”. In IEEE TRANSACTIONS ON EDUCATION, Vol. 60, No. 3, August 2017.10.1109/TE.2016.2633959Search in Google Scholar

[31] M. T. R. A. Aziz, Y. Yusof “Graduates Employment Classification using Data Mining Approach”. In Proceedings of the International Conference on Applied Science and Technology, ICAST, 2016.Search in Google Scholar

[32] S. Sahu, M. Bhatt, “Big Data Classification of Student Result Prediction”. In International Journal of Research In Science & Engineering, Volume: 3 Issue: 2 March-April 2017.Search in Google Scholar

[33] V. Bharanipriya, V. Kamakshi Prasad, “Web Content Mining Tools: A Comparative Study”. In International Journal of Information Technology and Knowledge Management, Volume 4, No. 1, pp. 211-215, 2011.Search in Google Scholar

[34] P. Thakar, A. Mehta, Manisha, “Performance Analysis and Prediction in Educational Data Mining: A Research Travelogue”. In International Journal of Computer Applications (0975 - 8887), Volume 110 - No. 15, January 2015.Search in Google Scholar

[35] G. Grasso, T. Furche, Ch. Schallhart, “Effective Web Scraping with OXPath”. In WWW 2013 Companion, Rio de Janeiro, Brazil. ACM 978-1-4503-2038-2/13/05, 2013.10.1145/2487788.2487796Search in Google Scholar

[36] M. Thelwall, “A Web Crawler Design for Data Mining”. In Journal of Information Science, pp. 319-325, 2001.10.1177/016555150102700503Open DOISearch in Google Scholar

[37] T. V. Adapure, R. D. Kale, R. C. Dharmik, “Study of Web Crawler and its Different Types”. In IOSR Journal of Computer Engineering, Volume 16, Issue 1, PP 01-05, 2014.10.9790/0661-16160105Search in Google Scholar

[38] F. Ahmad, N. H. Ismail, A. A. Aziz, “Using Classification Data Mining Techniques”. In Applied Mathematical Sciences, Vol. 9, pp. 6415 - 6426, no. 129, 2015.Search in Google Scholar

[39] D. Garcia-Saiz, M. Zorilla, “Comparing Classification Methods for Predicting Distance Students Performance”. In JMLR: Workshop and Conference Proceedings 17, pp. 26-32, 2011.Search in Google Scholar

[40] N. R. Haddaway, “The Use of Web-scraping Software in Searching for Grey Literature”. In The Grey Journal, Volume 11, 2015.Search in Google Scholar

[41] T. Furche, G. Gottlob, G. Grasso, Ch. Schallhart, A. Sellers, “OXPath: A language for scalable data extraction, automation, and crawling on the deep web”. In The VLDB Journal, 2012.10.1007/s00778-012-0286-6Search in Google Scholar

[42] L. Auria, R. A. Moro, “Support Vector Machines (SVM) as a Technique for Solvency Analysis”. In German Institute for Economic Research, 2008.10.2139/ssrn.1424949Search in Google Scholar

[43] M. Awad, L. Khan, F. Bastani, “An Effective Support Vector (SVM) Performance Using Hierarchical Clustering”. In IEEE 24th International Conference on Tools with Artificial Intelligence, 2004.Search in Google Scholar

[44] A Brief Introduction to Support Vector Machine (SVM). January 25, 2011.Search in Google Scholar

[45] ACM Recommendations for Computer Science Curricula, Volume I, 1983.Search in Google Scholar

[46] Curriculum Guidelines for Undergraduate Degree Programs in Software Engineering A Volume of the Computing Curricula Series, IEEE, 2014.Search in Google Scholar

[47] Th. Iliou, Ch. N. Anagnostopoulos, M. Nerantzaki, “A Novel Machine Learning Data Preprocessing Method for Enhancing Classification Algorithms Performance”. In 16th EANN workshops, ACM, Rhodes Island, Greece, 2015.10.1145/2797143.2797155Search in Google Scholar

[48] M. M. Yusof, R. Mohamed, N. Wahid, “Benchmark of Feature Selection Techniques with Machine Learning Algorithms for Cancer Datasets”. In ICAIR and CACRE '16, ACM, Kitakyushu, Japan, 2016.Search in Google Scholar

[49] D. Brandon, “TEACHING DATA ANALYTICS ACROSS THE COMPUTING CURRICULA *”. In CCSC: Mid-South Conference, 2015.Search in Google Scholar

[50] H. Hu, J. Li, A. Plank, H. Wang, G. Daggard, “A Comparative Study of Classification Methods for Microarray Data Analysis”. In Proc. Fifth Australasian Data Mining Conference, 2006.Search in Google Scholar

[51] H. Liu, X. Yin, J. Han, “An Efficient Multi-relational Naïve Bayesian Classifier Based on Semantic Relationship Graph”. In MRDM’05, ACM, Chicago, Illinois, USA, 2005.10.1145/1090193.1090200Search in Google Scholar

[52] M. HooshSadat, H. W. Samuel, S. Patel, “Fastest Association Rule Mining Algorithm Predictor (FARM-AP)”. In C3S2E 11, Montreal, QC, Canada, 2011.10.1145/1992896.1992902Search in Google Scholar

[53] H. Hu, J. Li, “Using Association Rules to Make Rule-based Classifiers Robust”. In Australian Computer Society, Inc., ACM, 2005.Search in Google Scholar

[54] A. Sun, E. Lim, W. Ng, “Web Classification Using Support Vector Machine∗”. In WIDM’02, ACM, Virginia, USA, 2002.10.1145/584931.584952Search in Google Scholar

[55] L. Borges, V. Marques, J. Bernardino, “Comparison of Data Mining techniques and tools for data classification”. In C3S2E-13, ACM, Porto, Portugal, 2013.10.1145/2494444.2494451Search in Google Scholar

[56] Y. N. Silva, S. W. Dietrich, J. M. Reed, “Integrating Big Data into the Computing Curricula”. In SIGCSE’14, ACM, Atlanta, GA, USA, 2014.10.1145/2538862.2538877Search in Google Scholar

[57] E. Trandafili, A. Allkoci, Elinda Kajo, A. Xhuvani, “Discovery and Evaluation of Student’s Profiles with Machine Learning”. In BCI’12, ACM 978-1-4503-1240-0/12/09, Novi Sad, Serbia, 2012.10.1145/2371316.2371350Search in Google Scholar

[58] B. Edwards, M. Zatorsky, R. Nayak, “Clustering and Classification of Maintenance Logs using Text Data Mining”. In Proc. 7th Australasian Data Mining Conference (AusDM'08), Glenelg, South Australia, 2008.Search in Google Scholar

[59] L. Merschmann, A. Plastino, “A Bayesian Approach for Protein Classification”. In SAC’06, ACM 1-59593-108-2/06/0004, Dijon, France, 2006.10.1145/1141277.1141322Search in Google Scholar

[60] A. Veloso, W. Meira Jr., M. Cristo, M. Goncalves, M. Zaki, “Multi-Evidence, Multi-Criteria, Lazy Associative Document Classification”. In CIKM’06, ACM 1-59593-433-2/06/0011, Virginia, USA, 2006.10.1145/1183614.1183649Search in Google Scholar

[61] R. Frank, M. Ester, A. Knobbe, “A Multi-Relational Approach to Spatial Classification”. In KDD’09, 978-1-60558-495-9/09/06, Paris, France, 2009.10.1145/1557019.1557058Search in Google Scholar

[62] M. Ericsson, A. Wingkvist, “Mining Job Ads to Find What Skills are Sought After from an Employers’ Perspective on IT Graduates”. In ITiCSE’14, ACM 978-1-4503-2833-3/14/06, Uppsala, Sweden, 2014.10.1145/2591708.2602670Search in Google Scholar

[63] Q. Ding, Q. Ding, W. Perrizo, “Decision Tree Classification of Spatial Data Streams Using Peano Count Trees”. In SAC 2002, ACM 1-58113-445-2/02/03, Madrid Spain, 2002.10.1145/508791.508870Search in Google Scholar

[64] Ch. C. Aggarwal, “The Setwise Stream Classification Problem”. In KDD’14, ACM 978-1-4503-2956-9/14/08, New York, NY, USA, 2014.Search in Google Scholar

[65] Ch. C. Aggarwal, J. Han, Ph. S. Yu, “On Demand Classification of Data Streams”. In KDD’04, ACM 1-58113-888-1/04/0008, Seattle, Washington, USA, 2004.10.1145/1014052.1014110Search in Google Scholar

[66] Ch. C. Aggarwal, “Towards Exploratory Test Instance Specific Algorithms for High Dimensional Classification”. In KDD’05, ACM 1-59593-135-X/05/0008, Chicago, Illinois, USA, 2005.10.1145/1081870.1081931Search in Google Scholar

[67] J. Li, R. Topor, H. Shen, “Construct robust rule sets for classification”. In SIGKDD’02, ACM 1-58813-567-X/02/0007, Alberta Canada, 2002.10.1145/775047.775130Search in Google Scholar

[68] N. Jin, C. Young, W. Wang, “GAIA: Graph Classification Using Evolutionary Computation”. In SIGMOD ’10, ACM 978-1-4503-0032-2/10/06, Indiana, USA, 2010.Search in Google Scholar

[69] H. Fei, J. Huan, “Structure Feature Selection for Graph Classification”. In CIKM ’08, ACM 978-1-59593-991-3/08/10, California, USA, 2008.10.1145/1458082.1458212Search in Google Scholar

[70] A. Wegmann, “Theory and Practice behind the Course Designing Enterprisewide IT Systems”. In IEEE Transactions on Education, Vol. 47, No. 4, November 2004.10.1109/TE.2004.825059Open DOISearch in Google Scholar

[71] J. E. Froyd, Ph, C. Wankat, K. A. Smith, “Five Major Shifts in 100 Years of Engineering Education”. In Proceedings of the IEEE, 0018-9219, Vol. 100, May 13th, 2012.10.1109/JPROC.2012.2190167Search in Google Scholar

[72] Z. Shiller, “A Bottom-Up Approach to Teaching Robotics and Mechatronics to Mechanical Engineers”. In IEEE Transactions on Education, Vol. 56, No. 1, February 2013.10.1109/TE.2012.2226176Search in Google Scholar

[73] M. Marques, M. C. Viegas, M. C. Costa - Lobo, A. V. Fidalgo, G. R. Alves, J. S. Rocha, I. Gustavsson. In IEEE Transactions on Education, Vol. 57, No. 3, August 2014.10.1109/TE.2013.2284156Search in Google Scholar

[74] A. K. Kakar, “Teaching Theories underlying Agile Methods in a Systems Development Course”. In 47th Hawaii International Conference on System Science, IEEE, 978-1-4799-2504-9/14, 2014.10.1109/HICSS.2014.610Search in Google Scholar

[75] M. G. Soto, R. Dzwonczyk, “Maximizing Service and Learning in an International Engineering Service Learning Program”. In IEEE 2015 Global Humanitarian Technology Conference, 978-1-4673-6561-1/15, 2015.10.1109/GHTC.2015.7343968Search in Google Scholar

[76] W. He, J. T. Kwok, J. Zhu, Y. Liu, “A Note on the Unification of Adaptive Online Learning”. In IEEE Transactions on Neural Networks and Learning Systems, Vol. 28, No. 5, May 2017.10.1109/TNNLS.2016.2527053Search in Google Scholar

[77] D. Klosters, “Matching Skills and Labor Market Needs”. In World Economic Forum, January 2014.Search in Google Scholar

[78] A. Ghani Kanesan Bin Abdullah, “Bridging the Gap between Industry and Higher Education Demands on Electronic Graduates’ Competencies”. In IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), Volume 8, Issue 1, 2013.10.9790/1676-0816368Search in Google Scholar

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