Automated Teller Machines Location's Information Retrieval Search Engine Using Suffix Tree Clustering Technique-Reference-Cited by-同舟云学术

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Automated Teller Machines Location's Information Retrieval Search Engine Using Suffix Tree Clustering Technique

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Natural Language Processing and Information Retrieval - NLPIR 2018
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Author:

Fabon Gil L.¹,Fajardo Arnel C.²,Medina Ruji P.³

Affiliation:

1. Information Technology, Technological Institute of the Philippines, Philippines

2. Computer Engineering, Chiang Kai Shek College, School of Information Technology Education, Philippines

3. Environmental Engineering, Technological Institute of the Philippines, Philippines

Publisher

ACM Press

Reference17 articles.

1. S. Sridharan, T. C. Pramod, and N. R. Sunitha. 2014. Architecting an integrated framework for utility payment services using automated teller machines. 2014 Int. Conf. Sci. Eng. Manag. Res. ICSEMR 2014, 2014.

2. T. Mahmood and G. M. Shaikh. 2014. Adaptive Automated Teller Machines. Expert Syst. Appl., vol. 40, no. 4, pp. 1152--1169, 2013.

3. G. Mujtaba. 2011. Adaptive Automated Teller Machine Part-II. Int. Conf. Inf. Commun. Technol. IEEE, pp. 1--6, 2011.

4. M. L. F. Cheong, P. S. Koo, and B. C. Babu. 2015. Ad-hoc automated teller machine failure forecast and field service optimization. IEEE Int. Conf. Autom. Sci. Eng., vol. 2015-Octob, pp. 1427--1433, 2015.

5. S. Sridhar. 1998. Determination of aggregate preventive maintenance programs using production schedules. Comput. Ind. Eng., pp. 193--200, 1998.

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