Home| Contact Us| New Journals| Browse Journals| Journal Prices| For Authors|

Print ISSN: 0976-898X
Online ISSN:
0976-8998


  About JNT
  DLINE Portal Home
Home
Aims & Scope
Editorial Board
Current Issue
Next Issue
Previous Issue
Sample Issue
Upcoming Conferences
Self-archiving policy
Alert Services
Be a Reviewer
Publisher
Paper Submission
Subscription
Contact us
 
  How To Order
  Order Online
Price Information
Request for Complimentary
Print Copy
 
  For Authors
  Guidelines for Contributors
Online Submission
Call for Papers
Author Rights
 
 
RELATED JOURNALS
Journal of Digital Information Management (JDIM)
International Journal of Computational Linguistics Research (IJCL)
International Journal of Web Application (IJWA)

 

 
Journal of Networking Technology
 

Case Retrieval for CBR based on Clustering to Support Decision
Abdelhak Mansoul, Baghdad Atmani
University of Skikda, Algeria & University of Oran Ahmed Ben Bella, Algeria
Abstract: Case-based reasoning has been widely adopted for decision support. A major operation in the CBR is the retrieval of similar cases. However, this operation has some weaknesses. One among them is the retrieval of several similar cases. On the other hand, sequentially processing all cases with a similarity has a complexity in presence of a great case base and several features. So, improving retrieval has been focused by a considerable amount studies using sequential calculation, non-sequential indexing, classification algorithms and Nearest Neighbor matching, etc., while others use hybridization of CBR with other reasoning methodologies. In this paper, we propose a novel approach based on CBR and clustering to improve the retrieval operation, and impacts positively the whole reasoning process. Our aim is to propose an available strategy for the retrieval task and also a valid decision support model. Finally, we present preliminary results and suggestions to extend our approach.
Keywords: Decision Support, Case-Based Reasoning, Clustering, Data mining, CBR Case Retrieval for CBR based on Clustering to Support Decision
DOI:https://doi.org/10.6025/jnt/2020/11/1/9-24
Full_Text   PDF 1.5 MB   Download:   99  times
References:

[1] Begum, S., Ahmed, M., Funk, P., Xiong, N., Folke, M. (2011). Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments. IEEE Transactions on systems, man, and cybernetics part c: applications and reviews, 41 (4) 421-434.
[2] Marling, C., Sqalli, M., Rissland, E., Munoz-Avila, H., Aha, D. (2002). Case-Based Reasoning Integrations. AI Magazine, 23 (1) 69.
[3] Aamodt, A., Plaza, E. (1994). Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI communications, 7 (1) 39-59.
[4] Liu, C. H., Chen, L. S., Hsu, C. C. (2008). An association-based case reduction technique for case-based reasoning. Information Sciences, 178 (17) 3347- 3355.
[5] Bichindaritz, I., Marling, C. (2010). Case-based reasoning in the health sciences: Foundations and research directions. In: Computational Intelligence in Healthcare 4. Springer Berlin Heidelberg, 127-157.
[6] Marling, C., Rissland, E., Aamodt, A. (2005). Integrations with case-based reasoning. The Knowledge Engineering Review, 20 (3) 241-245.
[7] Kesavaraj, G., Sukumaran, S. (2013). A study on classification techniques in data mining. In: Computing, Communications and Networking Technologies, Fourth International Conference on. IEEE, p. 1-7.
[8] Neshat, M., Sargolzaei, M., Toosi, Nadjaran., A., Masoumi, A. (2012). Hepatitis disease diagnosis using hybrid case based reasoning and particle swarm optimization. ISRN Artificial Intelligence.
[9] Yang, Q., Wu, J. (2000). Keep it simple: A case-base maintenance policy based on clustering and information theory. In: Conference of the Canadian Society for Computational Studies of Intelligence. Springer, Berlin, Heidelberg, 102-114.
[10] Vong, C. M., Wong, P. K., Fai, Weng. Ip (2010). Case-based classification system with clustering for automotive engine spark ignition diagnosis. In Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on. IEEE, 17-22.
[11] Uddin, Mobyen., A., Banaee, H., Loutfi, A. (2013). Health monitoring for elderly: An application using case-based reasoning and cluster analysis. ISRN Artificial Intelligence.
[12] Verma, L., Srinivasan, S., Sapra, V. (2014). Integration of rule-based and case-based reasoning system to support decision making issues and Challenges. In Intelligent Computing Technics (ICICT), International Conference on. IEEE, p. 106-108.
[13] Cabrera, M. M., Edye, E. O. Integration of rule-based expert systems and case-based reasoning in an acute bacterial meningitis clinical decision support system, arXiv preprint arXiv:1003.1493[Online]. Available: https://arxiv.org/ftp/arxiv/papers/1003/1003.1493.pdf
[14] Saraiva, R., Perkusich, M., Silva, L., Siebra, C., Perkusich, A. (2016). Early diagnosis of gastrointestinal cancer by using casebased and rule-based reasoning. Expert Systems with Applications, 61, 192-202.
[15] Bichindaritz, I. (2015). Data Mining Methods for Case-Based Reasoning in Health Sciences. In: ICCBR (Workshops), 184-198.
[16] Yuan, G., Hu, J., Yinghong, P. (2011). Research on CBR system based on data mining. Applied Soft Computing, 11 (8) 5006–5014.
[17] Zhuang, Z. Y., Churilov, L., Burstein, F., Sikaris, K. (2009). Combining Data Mining and Case-based Reasoning for Intelligent Decision Support for Pathology Ordering by General Practitioners. European Journal of Operational Research, 195(3) 662- 675.
[18] Schmidt, R., Montani, S., Bellazzi, R. (2001). Cased-based reasoning for medical knowledge-based systems. International Journal of Medical Informatics, 64 (2) 355-367.
[19] Balakrishnan, V., Shakouri, M. R., Hoodeh, H. (2012). Integrating association rules and case-based reasoning to predict retinopathy. Maejo International Journal of Science and Technology, 6 (3) 334-343.
[20] Armaghan, N., Renaud, J. (2012). An application of multi-criteria decision aids models for Case-Based Reasoning. Information Sciences, 210, p. 55-66.
[21] Li, H., Sun, J. (2009). Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBRI and Electre-CBR-II. European Journal of Operational Research, 197 (1) 214-224.
[22] Malekpoor, H., Mishra, N., Sumalya, S., Kumari, S (2016). An efficient approach to radiotherapy dose planning problem: a TOPSIS case-based reasoning approach. International Journal of Systems Science: Operations & Logistics, p. 1-9.
[23] Erjaee, A., Bagherpour, M., Razeghi, S., Dehghani, S. M., Imanieh, M. H., Haghighat, M. (2012). A multi-criteria decision making model for treatment of Helicobacter pylori infection in children. Hong Kong Journal of Paediatrics, 17 (4) 237-42.
[24] Bouhana, A., Abed, M., Chabchoub, H. (2011). An integrated Case-Based Reasoning and AHP method for personalized itinerary search. Logistics, 4th International Conference on. IEEE, p. 460-467.
[25] Author, coauthor. (2016). Clustering to Enhance Case-Based Reasoning, In: Modelling and Implementation of Complex Systems. Springer International Publishing, 2016, p. 137-151.
[26] Markov, Z., Russell. I. (2006). An introduction to the WEKA data mining system. ACM SIGCSE Bulletin, 38 (3) 367-368.
[27] Recio-Garcia, J.A., Diaz-Agudo, B., Gonzalez-Calero, P (2008). JColibri2 Tutorial. Universidad Complutense de Madrid: Madrid, Spain.
[28] MedlinePlus. (2016). MedlinePlus [Online]. Available: https://medlineplus.gov/spineinjuriesanddisorders.html#cat78
[29] JB & JS. (2016). JB & JS [Online]. Available: http://journals.lww.com/jbjsjournal/pages/articleviewer.aspx?year=2015&issue=12020&article=00002&type=Fulltext
[30] UCI Machine learning (2016). UCI Machine learning [Online]. Available: http://archive.ics.uci.edu/ml/datasets/Vertebral+Column#
[31] Beleites, C., Salzer, R., Sergo, V. (2013). Validation of soft classification models using partial class memberships: An extended concept of sensitivity & co. applied to grading of astrocytoma tissues. Chemometrics and Intelligent Laboratory Systems, 122, p. 12-22.


Home | Aim & Scope | Editorial Board | Author Guidelines | Publisher | Subscription | Previous Issue | Contact Us |Upcoming Conferences|Sample Issues|Library Recommendation Form|

 

Copyright © 2011 dline.info