Implementing knowledge discovery in enhancing university student services portfolio management in higher education institutions

  • PAULINO H. GATPANDAN
  • SHANETH C. AMBAT
Keywords: Data Mining, Classification, Decision Tree, CHAID Algorithm, Data Envelopment Analysis

Abstract

Aim: The Student Welfare and Formation Office (SWAFO) of De La Salle University-Dasmarinas, Philippines, used Classification Techniques and Data Envelopment Analysis to analyze student demographics and disciplinary infractions. This paper describes how Knowledge Discovery was used to improve the management of the university’s portfolio of student services.
Methodology: To identify the effective Decision-Making Unit (DMU) attributed to colleges, the Data Envelopment Analysis was used. The correlation between student demographics and offending behavior was analyzed using the CHAID algorithm.
Findings: The CHAID algorithm is implemented in a software application that is designed to be a predictive analytical software application that predicts student offenses, and a remediation plan is developed as a result. The SWAFO staff and five (5) IT professionals evaluate the software.
Implications/Novelty: This research will help SWAFO’s process improvement initiative and delve deeper into the change by utilizing the remediation system plan. This work adds to our understanding of DEA and the design of remediation systems in higher education.

References

Abdar, M., Zomorodi-Moghadam, M., Das, R., and Ting, I. 2016. “Performance Analysis of Classification Algorithms on Early Detection of Liver Disease.” Expert Systems with Applications 67: 239-251.

Abellan, J., and Masegosa, A. R. 2012. “Imprecise Classification with Credal Decision Trees.” International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems 20(5): 763-787.

Barbosa, R. M., Nacano, L. R., Freitas, R., Batista, B. L., and Barbosa, F. 2014. “The Use of Decision Trees and Naïve Bayes Algorithms and Trace Element Patterns for Controlling the Authenticity of Free-RangePastured Hens’ Eggs.” Journal of Food Science 79(9): C1672-C1677.

Barros, R. C., Basgalupp, M. P., de Carvalho, A. F., and Freitas, A. A. 2013. “Automatic Design of Decision-Tree Algorithms with Evolutionary Algorithms.” Evolutionary Computation 21(4): 659-684.

Bi-Huei, T., and Shin-Bin, C. 2015. “Application of Multiple Output Data Envelopment Analysis in Interpreting Efficiency Improvement of Enterprise Resource Planning in Integrated Circuit Firms.” Journal of Developing Areas 49(1): 285-304.

Bisoi, R., Dash, P., and Nayak, P. 2014. “A Hybrid Decision Tree and New Frequency Filtering S-Transform for Simultaneous Power Signal Disturbance Pattern Recognition.” International Journal of Knowledge Based Intelligent Engineering Systems 18(4): 229-245.

Brettenny, W., and Sharp, G. 2016. “Efficiency Evaluation of Urban and Rural Municipal Water Service Authorities in South Africa: A Data Envelopment Analysis Approach.” Water SA 42(1): 11-19.

Chaloob, I. Z., Ramli, R., and Nawawi, M. K. M. 2014. “Using Simulation and Data Envelopment Analysis to Evaluate Iraqi Regions in Producing Strategic Crops.” AIP Conference Proceedings 1635(1): 525-529.

Charnes, A., Cooper, W., Lewin, A. Y., and Seiford, L. M. 1997. “Data Envelopment Analysis Theory, Methodology and Applications.” Journal of the Operational Research Society 48(3): 332-333.

Due, A. T. 2016. “Using Open Innovation Model to Enhance Knowledge Sharing in Vietnam University.” Journal of Administrative and Business Studies 2(5): 241-247.

Esteban, C., Arostegui, I., Garcia-Gutierrez, S., Gonzalez, N., Lafuente, I., Bare, M., and Quintana, J. M. 2015. “A Decision Tree to Assess Short-Term Mortality after an Emergency Department Visit for an Exacerbation of COPD: A Cohort Study.” Respiratory Research 16(151): 1-10.

Farid, D., Sadeghi, H., Hajigol, E., and Parirooy, N. Z. 2016. “Classification of Bank Customers by Data Mining: A Case Study of Mellat Bank Branches in Shiraz.” International Journal of Management, Accounting & Economics 3(8): 534-543.

Hong, J. 2014. “Data Envelopment Analysis in the Strategic Management of Youth Orchestras.” Journal of Arts Management, Law & Society 44(3): 181-201.

Hunjet, D., Neralic, L., and Wendell, R. 2015. “Evaluation of the Dynamic Efficiency of Croatian Towns using ´ Data Envelopment Analysis.” Central European Journal of Operations Research 23(3): 675-686.

Ibrahim, H. I., and Salau, E. S. 2016. “Efficiency of Village Extension Agents in Efficiency of Village Extension Agents in Nigeria: Evidence from a Data Envelopment Analysis.” Arab Universities Journal of Agricultural Sciences 61(1): 93-101.

Jandaghi, E. 2015. “Efficiency Evaluation of Research Groups using Data Envelopment Analysis.” European Researcher 90(1): 32-36.

Jimenez-Perez, P. F., and Mora-Lopez, L. 2016. “Modeling and Forecasting Hourly Global Solar Radiation using Clustering and Classification Techniques.” Solar Energy 135: 682-691.

Kazan, H., and Baydar, M. 2013. “Performance Measurement with Data Envelopment Analysis in Service Industry: Banking Application.” Business Management Dynamics 3(5): 37-50.

Kotsiantis, S. 2014. “A Hybrid Decision Tree Classifier.” Journal of Intelligent & Fuzzy Systems 26(1): 327-336.

Liu, H., and Dong, X. 2016. “Influence of Social Relations on Knowledge Conflicts-An Empirical Study from Chinese Universities.” Journal of Administrative and Business Studies 2(1): 8-18.

Madhusudana, C. K., Budati, S., Gangadhar, N., Kumar, H., and Narendranath, S. 2016. “Fault Diagnosis Studies of Face Milling Cutter using Machine Learning Approach.” Journal of Low Frequency Noise, Vibration & Active Control 35(2): 128-138.

Narimatsu, H., Nakata, Y., Nakamura, S., Sato, H., Sho, R., Otani, K., and Kayama, T. 2015. “Applying Data Envelopment Analysis to Preventive Medicine: A Novel Method for Constructing a Personalized Risk Model of Obesity.” Plos ONE 10(5): 1-11.

Nuchso, N., Tuntivivat, S., and Klayklueng, P. 2016. “The Effect of Learning Organization and Servant Leadership on Child-Centered Teaching Behavior with the Mediating Role of Knowledge Sharing in Education of Chanthaburi Diocese Schols.” International Journal of Humanities, Arts and Social Sciences 2(5): 181-188.

Owusu, N. O. 2016. “Collaborative Knowledge Management: Examining the Challenges in the Rural Banking Industry in the Eastern Region of Ghana.” International Journal of Humanities, Arts and Social Sciences 2(3): 111-120.

Rouse, P., Harrison, J., and Li, C. 2010. “Data Envelopment Analysis: A Practical Tool to Measure Performance.” Australian Accounting Review 20(2): 165-177.

Shen, Y., Hermans, E., Brijs, T., Wets, G., and Vanhoof, K. 2012. “Road Safety Risk Evaluation and Target Setting using Data Envelopment Analysis and its Extensions.” Accident; Analysis and Prevention 48: 430-441.

Song, Y., and Ying, L. U. 2015. “Decision Tree Methods: Applications for Classification and Prediction.” Shanghai Archives of Psychiatry 27(2): 130-135.

Toloo, M., Barat, M., and Masoumzadeh, A. 2015. “Selective Measures in Data Envelopment Analysis.” Annals of Operations Research 226(1): 623-642.

Wu, H., Chen, B., Xia, Q., and Zhou, H. 2013. “Ranking and Benchmarking of the Asian Games Achievements Based on DEA: The Case of Guangzhou 2010.” Asia-Pacific Journal of Operational Research 30(06): 1350028.

Wu, W. 2012. “An Integrated Solution for Benchmarking using DEA, Gray Entropy, and Borda Count.” Service Industries Journal 32(2): 321-335.

Ya, W., Escalante, C. L., and Xiaofei, L. 2016. “Technical Efficiency and Business Maturity: Evidence from Chinese and Indian Microfinance Institutions.” Enterprise Development & Microfinance 27(2): 97-114.
Published
2017-06-30
Section
Articles