Abstract
The human behavior has always been very influential in systems engineering. In fact, AI methods and techniques are largely influenced by the human behavior in the form of mental and mechanical capabilities. The human learning, persevering and then recalling knowledge is the focal point in artificial intelligence research. But less attention is paid to forgetting as one of the characteristics that have a very positive role in human intelligence. This paper seeks to integrate data forgetting as part of the behavior of case-based reasoning systems. The aim is to improve the performance of CBR systems by filtering out irrelevant cases as part of the machine behavior in the form of CBR systems. The paper presents a prototypical implementation of the of a forgettable CBR system that provides course recommendations as part of student registration system. Experimental work has been carried out using historical data of postgraduate students in the Computer science department, Tripoli University, Libya
Keywords:
Knowledge management, CBR, machine forgetting, recommendation systems.
References
1. Aamodt, A., Plaza, E. (1994), Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches, AICom - Artificial Intelligence Communications, IOS Press, Vol. 7: 1, pp. 39-59.
2. Mohamed, A. H. (2006) Managing Evolution in Software-Engineering Knowledge Management Systems, 1st IEEE International Conference on Digital Information Management (ICDIM 2006), Bangalore, India
3. Mohamed, A. H. (2010) Complementing the CBR by constructive forgetting, 2nd Libyan-Tunisian workshop on new directions in advanced computing,10-12 May, 2010, Beni Walid, Libya.
4. Roger C. Schank and Robert P. Abelson (1977), “Scripts, Plans, Goals and Understanding.” Yale University, New Jersey, 1977
5. Rahman, H., Barua, S., Ahmed, M. U., Begum, S., & Hök, B. (2016). A Case-Based Classification for Drivers’ Alcohol Detection Using Physiological Signals. In The 3rd EAI International Conference on IoT Technologies for HealthCare HealthyIoT'16, 18 Oct 2016, Vä steraÃ¥ s, Sweden
6. [Mohamed, A. H. (2008) Case-Based Reasoning PC purchasing e-Advisor, National conference for information technology and communication (ITC’08), Tripoli, Libya.
7. Mohamed, A. H., Lee, S. P., Salim, S. S. (2004) An Ontology-based Knowledge Model for Software Experience Knowledge, Journal of Knowledge Management Practice, Volume 5, May 2004, WWW URL: www.tlainc.com/jkmpv5.htm
8. Tiwana, A. (2000) Knowledge Management Toolkit, the: Practical Techniques for Building a Knowledge Management System, Upper Saddle River, NJ :Prentice Hall PTR, ISBN 0-13-012853-8, pp.224.
9. Althoff, K-D (2001) Case-based reasoning. In Chang, SK (ed.) Handbook on Software Engineering and Knowledge Engineering, vol. 1 Fundamentals. World Scientific, pp. 549–588.
10. Wei, J., He, J., Chen, K., Zhou, Y., & Tang, Z. (2017). Collaborative filtering and deep learning based recommendation system for cold start items. Expert Systems with Applications, 69, 29-39.
11. Rintala, L., Leikola, M., Sauer, C., Aromaa, J., Roth-Berghofer, T., Forsén, O., & Lundström, M. (2017). Designing gold extraction processes: Performance study of a case-based reasoning system. Minerals Engineering, 109, 42-53.
12. Sandvig, J., & Burke, R. (2005) Aacorn: A CBR recommender for academic advising. Technical Report, TR05-015, DePaul University.
13. Mehrizi, M.H.R, Niri, M. B., Rahimi, M., Yarmand, H.(2009) Knowledge Active Forgetting: The Forgotten Side of Knowledge Management, PICMET 2009 Proceedings, August 2-6, Portland, Oregon USA.
14. Markovitich, S. & Scott, P. D. ‘The role of Forgetting in Learning’, proc. Of the fifth Int. conf. On Machine Learning, Ann Arbor, MI:Morgan Kaufmann,1988
15. Kira, Z. and Arkin, R.C. (2004) "Forgetting Bad Behavior: Memory Management for Case-based Navigation", Proc. IROS-2004, Sendai, JP, 2004.
16. B. Smyth, M.T. Keane (1995) Remembering to forget: A competence-preserving case deletion policy for case-based reasoning systems, in: 14th International Joint Conference on Artificial Intelligence, 1995, pp. 377–382
17. Lee, S. P., Mohamed, A. H. and Salim, S. S. (2001) Towards an Intelligent Organisational Memory System, 2001, Knowledge Management International Conference and Exhibition (KMICE 2001), Langkawi, Malaysia.
18. Mohamed, A. H., Lee, S. P., Salim, S. S. (2005) LiSER: An Organisational Memory subsystem to support Organisational Learning in software development organisations, International Arab Journal of Information Technology (IAJIT), vol.2, no.1, 2005.
19. Mohamed, A. H. (2008) Capturing Software-Engineering Tacit Knowledge, European computing conference (ECC’08), Malta.
20. Tran, T. N., Drab, K., & Daszykowski, M. (2013) Revised DBSCAN algorithm to cluster data with dense adjacent clusters. Chemometrics and Intelligent Laboratory Systems, 120, 92-96.
21. Bogaerts, S. and Leake, D. (2004) "IUCBRF: A Framework for Rapid and Modular Case-Based Reasoning System Development," 2004
2. Mohamed, A. H. (2006) Managing Evolution in Software-Engineering Knowledge Management Systems, 1st IEEE International Conference on Digital Information Management (ICDIM 2006), Bangalore, India
3. Mohamed, A. H. (2010) Complementing the CBR by constructive forgetting, 2nd Libyan-Tunisian workshop on new directions in advanced computing,10-12 May, 2010, Beni Walid, Libya.
4. Roger C. Schank and Robert P. Abelson (1977), “Scripts, Plans, Goals and Understanding.” Yale University, New Jersey, 1977
5. Rahman, H., Barua, S., Ahmed, M. U., Begum, S., & Hök, B. (2016). A Case-Based Classification for Drivers’ Alcohol Detection Using Physiological Signals. In The 3rd EAI International Conference on IoT Technologies for HealthCare HealthyIoT'16, 18 Oct 2016, Vä steraÃ¥ s, Sweden
6. [Mohamed, A. H. (2008) Case-Based Reasoning PC purchasing e-Advisor, National conference for information technology and communication (ITC’08), Tripoli, Libya.
7. Mohamed, A. H., Lee, S. P., Salim, S. S. (2004) An Ontology-based Knowledge Model for Software Experience Knowledge, Journal of Knowledge Management Practice, Volume 5, May 2004, WWW URL: www.tlainc.com/jkmpv5.htm
8. Tiwana, A. (2000) Knowledge Management Toolkit, the: Practical Techniques for Building a Knowledge Management System, Upper Saddle River, NJ :Prentice Hall PTR, ISBN 0-13-012853-8, pp.224.
9. Althoff, K-D (2001) Case-based reasoning. In Chang, SK (ed.) Handbook on Software Engineering and Knowledge Engineering, vol. 1 Fundamentals. World Scientific, pp. 549–588.
10. Wei, J., He, J., Chen, K., Zhou, Y., & Tang, Z. (2017). Collaborative filtering and deep learning based recommendation system for cold start items. Expert Systems with Applications, 69, 29-39.
11. Rintala, L., Leikola, M., Sauer, C., Aromaa, J., Roth-Berghofer, T., Forsén, O., & Lundström, M. (2017). Designing gold extraction processes: Performance study of a case-based reasoning system. Minerals Engineering, 109, 42-53.
12. Sandvig, J., & Burke, R. (2005) Aacorn: A CBR recommender for academic advising. Technical Report, TR05-015, DePaul University.
13. Mehrizi, M.H.R, Niri, M. B., Rahimi, M., Yarmand, H.(2009) Knowledge Active Forgetting: The Forgotten Side of Knowledge Management, PICMET 2009 Proceedings, August 2-6, Portland, Oregon USA.
14. Markovitich, S. & Scott, P. D. ‘The role of Forgetting in Learning’, proc. Of the fifth Int. conf. On Machine Learning, Ann Arbor, MI:Morgan Kaufmann,1988
15. Kira, Z. and Arkin, R.C. (2004) "Forgetting Bad Behavior: Memory Management for Case-based Navigation", Proc. IROS-2004, Sendai, JP, 2004.
16. B. Smyth, M.T. Keane (1995) Remembering to forget: A competence-preserving case deletion policy for case-based reasoning systems, in: 14th International Joint Conference on Artificial Intelligence, 1995, pp. 377–382
17. Lee, S. P., Mohamed, A. H. and Salim, S. S. (2001) Towards an Intelligent Organisational Memory System, 2001, Knowledge Management International Conference and Exhibition (KMICE 2001), Langkawi, Malaysia.
18. Mohamed, A. H., Lee, S. P., Salim, S. S. (2005) LiSER: An Organisational Memory subsystem to support Organisational Learning in software development organisations, International Arab Journal of Information Technology (IAJIT), vol.2, no.1, 2005.
19. Mohamed, A. H. (2008) Capturing Software-Engineering Tacit Knowledge, European computing conference (ECC’08), Malta.
20. Tran, T. N., Drab, K., & Daszykowski, M. (2013) Revised DBSCAN algorithm to cluster data with dense adjacent clusters. Chemometrics and Intelligent Laboratory Systems, 120, 92-96.
21. Bogaerts, S. and Leake, D. (2004) "IUCBRF: A Framework for Rapid and Modular Case-Based Reasoning System Development," 2004
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