Keywords:-
Article Content:-
Abstract
Telecom is one of the first industry to embrace Data mining technology. Generally these organizations have numerous customers. So organizations save this Data furthermore, consequently there is generation of tremendous sum of data. This Data incorporates call-detail data, client data, furthermore, system data. To handle this vast sum of Data furthermore, to find helpful Data from this Data the programmed or semi programmed strategy should be utilized as it simplifies the work. Furthermore, the Data Mining fits for this criteria. Therefore use of Data Mining innovation is must for Telecom companies. This paper portrays how Data mining furthermore, its applications helps Telecom industry in various aspects.
References:-
References
Jung-Kyu Choi; Dept. of Healthcare Eng., Chonbuk Nat. Univ., Jeonju, South Korea; Chan Il Yoo; Kyung-Ah Kim;
Yonggwan Won, “Study on Datamining Techinique for Foot Disease Prediction”, Published in: IT Convergence and
Security (ICITCS), 2014 International Conference on Date of Conference: 28-30 Oct. 2014. Page(s): 1 – 4
Emanuel, A.W.R.; Fac. of Inf. Technol., Maranatha Christian Univ., Bandung, Indonesia; Wardoyo, R.; Istiyanto, J.E.;
Mustofa, K., “Success factors of OSS projects from sourceforge using Datamining Association Rule”, Published in:
Distributed Framework and Applications (DFmA), 2010 International Conference on Date of Conference: 2-3 Aug. 2010
Page(s): 1 – 8.
Gulski, E.; Delft Univ. of Technol., Netherlands; Quak, B.; Wester, F.J.; de Vries, F., “Application of datamining techniques
for power cable diagnosis”, Published in:
Properties and Applications of Dielectric Materials, 2003. Proceedings of the 7th International Conference on (Volume:3 )
Date of Conference: 1-5 June 2003 Page(s): 986 - 989 vol.3.
Erraguntla, M.; Ramachandran, S.; Chang-Nien Wu; Mayer, R.J., “Avian Influenza Datamining Using Environment,
Epidemiology, and Etiology Surveillance and Analysis Toolkit (E3SAT), Published in: System Sciences (HICSS), 2010
rd Hawaii International Conference on Date of Conference: 5-8 Jan. 2010 Page(s): 1 – 7.
Jiang, T.; Xu, Y.; Zhang, M., “Datamining: Discovering Information from Bio-Data”, Publisher: MIT Press Edition: 1 Pages:
– 341.
Llorente, R.; Univ. Politec. de Valencia, Valencia, Spain; Morant, M., “Accurate knowledge evaluation by deep datamining
in Telecommunication Engineering studies”, Published in: EAEEIE Annual Conference, 2009 Date of Conference: 22-24
June 2009 Page(s):1 – 6. [8] Kantardzic, M., “Appendix B: DataMining Applications”, Publisher: Wiley-IEEE Press Edition: 1 Pages: 327 – 338.
Singh, M.P.; Comput. Network & Internet Eng., Center For Dev. Of Adv. Comput., Bangalore, India; Subramanian, N.;
Rajamenakshi, “Visualization of flow data based on clustering technique for identifying network anomalies”, Published in:
Industrial Electronics & Applications, 2009. ISIEA 2009. IEEE Symposium on (Volume:2 ) Date of Conference: 4-6 Oct.
Page(s): 973 – 978.
Min Qin; Southern California Univ., Los Angeles, CA, USA; Kai Hwang, “Frequent episode rules for Internet anomaly
detection”, Published in: Network Computing and Applications, 2004. (NCA 2004). Proceedings. Third IEEE International
Symposium on Date of Conference: 30 Aug.-1 Sept. 2004 Page(s): 161 – 168.
Thongraweewong, K., “State telecommunication surveillance: A comparative study of the US and Thai telecommunication
privacy laws”, Published in: Digital Information and Communication Technology and it's Applications (DICTAP), 2014
Fourth International Conference on Date of Conference: 6-8 May 2014 Page(s): 347 – 352.
Evert, G.P.; Dept. of Eng. & Technol. Manage., Univ. of Pretoria, Pretoria, South Africa; Erasmus, L.D., “The adoption and
effects of international telecommunication trends in South Africa: Technology and market perspectives”, Published in:
Management of Engineering & Technology (PICMET), 2014 Portland International Conference on Date of Conference: 27-
July 2014 Page(s): 2039 – 2046.