Enabling proactive self-healing by data mining network failure logs

2017 International Conference on Computing, Networking and Communications, ICNC 2017

Volumn , Issue , 2017, Pages 511-517

  Hashmi, Umair Sajid ^a   Darbandi, Arsalan ^a   Imran, Ali ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

Fuzzy C means clustering; K means clustering; Local Outlier Factor; Local Outlier Probabilities; Network Failure Log database; Self Organizing Maps

Indexed keywords

COMPUTER SYSTEM RECOVERY; CONFORMAL MAPPING; DATA MINING; FUZZY SYSTEMS; PATTERN RECOGNITION; PREDICTIVE ANALYTICS; PROBABILITY; QUALITY OF SERVICE; RECOVERY; STATISTICS;

FUZZY C MEANS CLUSTERING; K - MEANS CLUSTERING; LOCAL OUTLIER FACTOR; LOCAL OUTLIERS; NETWORK FAILURE;

SELF ORGANIZING MAPS;

EID: 85017336102     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCNC.2017.7876181     Document Type: Conference Paper

References (19)

1. CISCO, "Cisco visual networking index: Global mobile data traffic forecast update, 2015 to 2020 white paper,", 2016.
2. Cartesian, "The emergence of LTE small cells and 5G," 2015. Online. Available: http://www.cartesian.com/the-emergence-of-ltesmall-cells-and-5g/
3. A. Imran, A. Zoha, and A. Abu-Dayya, "Challenges in 5G: how to empower SON with big data for enabling 5G," IEEE Network, vol. 28, no. 6, pp. 27-33, Nov 2014.
4. R. Becker, R. Caceres, K. Hanson, J. M. Loh, S. Urbanek, A. Varshavsky, and C. Volinsky, "Clustering Anonymized Mobile Call Detail Records to Find Usage Groups," The First Workshop on Pervasive Urban Applications (PURBA), 2011.
5. A. Bascacov, C. Cernazanu, and M. Marcu, "Using data mining for mobile communication clustering and characterization," in Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on, May 2013, pp. 41-46.
6. T. Vafeiadis, K. I. Diamantaras, G. Sarigiannidis, and K. C. Chatzisavvas, "A comparison of machine learning techniques for customer churn prediction," Simulation Modelling Practice and Theory, vol. 55, pp. 1-9, 2015.
7. S. K. I. Hasitha Indika Arumawadu, R. M. Kapila Tharanga Rathnayaka, "Mining Profitability of Telecommunication Customers Using K-Means Clustering," Journal of Data Analysis and Information Processing, vol. 3, pp. 63-71, 2015.
8. M. Horvath and A. Michalkova, "Monitoring Customer Satisfaction in Service Industry: A Cluster Analysis Approach," Quality Innovation Prosperity, vol. 16, no. 1, 2012. Online. Available: http://EconPapers.repec.org/RePEc:tuk:qipqip:v:16:y:2012:i:1:5
9. T. Velmurugan, "Performance based analysis between k-Means and Fuzzy C-Means clustering algorithms for connection oriented telecommunication data," Applied Soft Computing, vol. 19, pp. 134-146, 2014.
10. F. Bacao, V. Lobo, and M. Painho, "Self-organizing Maps as Substitutes for K-Means Clustering," in Proceedings of the 5th International Conference on Computational Science-Volume Part III, ser. ICCS'05. Berlin, Heidelberg: Springer-Verlag, 2005, pp. 476-483.
11. U. A. Kumar and Y. Dhamija, "Comparative analysis of SOM neural network with K-means clustering algorithm," in Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on, June 2010, pp. 55-59.
12. H. Farooq, A. Imran, and A. Abu-Dayya, "A multiobjective performance modelling framework for enabling selfoptimisation of cellular network topology and configurations." Trans. Emerging Telecommunications Technologies, vol. 27, no. 7, pp. 1000-1015, 2016. Online. Available: http://dblp.unitrier. de/db/journals/ett/ett27.htmlFarooqIA16
13. A. Zoha, A. Saeed, A. Imran, M. A. Imran, and A. Abu-Dayya, "A learning-based approach for autonomous outage detection and coverage optimization." Trans. Emerging Telecommunications Technologies, vol. 27, no. 3, pp. 439-450, 2016. Online. Available: http://dblp.uni-trier.de/db/journals/ett/ett27.htmlZohaSIIA16
14. O. Onireti, A. Zoha, J. Moysen, A. Imran, L. Giupponi, M. A. Imran, and A. Abu-Dayya, "A Cell Outage Management Framework for Dense Heterogeneous Networks," IEEE Transactions on Vehicular Technology, vol. 65, no. 4, pp. 2097-2113, April 2016.
15. A. Zoha, A. Saeed, A. Imran, M. A. Imran, and A. Abu-Dayya, "Datadriven analytics for automated cell outage detection in Self-Organizing Networks," in Design of Reliable Communication Networks (DRCN), 2015 11th International Conference on the, March 2015, pp. 203-210.
16. P.-N. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining. Pearson Addison Wesley, 2006.
17. S. M. Guthikonda, Kohonen Self-Organizing Maps. Wittenberg University, December 2005.
18. M. M. Breunig, H.-P. Kriegel, R. T. Ng, and J. Sander, "LOF: Identifying Density-based Local Outliers," SIGMOD Rec., vol. 29, no. 2, pp. 93-104, May 2000.
19. H.-P. Kriegel, P. Kroger, E. Schubert, and A. Zimek, "LoOP: Local Outlier Probabilities," in Proceedings of the 18th ACM Conference on Information and Knowledge Management, ser. CIKM'09. New York, NY, USA: ACM, 2009, pp. 1649-1652.