IEEE Style Citation: P.H. Wadekar, B.K.Wani, N.N.Joshi, A.W. Jadhav , “Automated Customer Query Resolver Using Data Mining,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.4, pp.305-307, 2018.
MLA Style Citation: P.H. Wadekar, B.K.Wani, N.N.Joshi, A.W. Jadhav "Automated Customer Query Resolver Using Data Mining." International Journal of Computer Sciences and Engineering 6.4 (2018): 305-307.
APA Style Citation: P.H. Wadekar, B.K.Wani, N.N.Joshi, A.W. Jadhav , (2018). Automated Customer Query Resolver Using Data Mining. International Journal of Computer Sciences and Engineering, 6(4), 305-307.
BibTex Style Citation:
@article{Wadekar_2018,
author = {P.H. Wadekar, B.K.Wani, N.N.Joshi, A.W. Jadhav },
title = {Automated Customer Query Resolver Using Data Mining},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2018},
volume = {6},
Issue = {4},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {305-307},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1889},
doi = {https://doi.org/10.26438/ijcse/v6i4.305307}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i4.305307}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1889
TI - Automated Customer Query Resolver Using Data Mining
T2 - International Journal of Computer Sciences and Engineering
AU - P.H. Wadekar, B.K.Wani, N.N.Joshi, A.W. Jadhav
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 305-307
IS - 4
VL - 6
SN - 2347-2693
ER -
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Abstract
their queries. In this case ,financial as well as human resources are consumed to a greater extent. In order to reduce this problem, there should be an efficient solution. There are some existing technologies which are used by modern enterprise centres. In an enterprise service centre, when the customer places his query, the frequently asked questions are displayed first. If the customer is not satisfied with the solution or if the required content is not available, then the call will be transferred to the enterprise service centre. As the call is placed, the human interaction between the customer and the enterprise service centre will be substantially increased. In this paper, we propose a system which reduces human interaction and provides automation for resolving queries. For this purpose we use the concept of enterprise mobility. Mobility provides exciting opportunities to interact with your customers, partners and suppliers, empower your employees and connect things to your business.
Key-Words / Index Term
Knowledge management service, semantic web, data mining
References
[1] Tang, Min, Bryan Pellom, and Kadri Hacioglu. ”Call-type classification and unsupervised training for the call center domain.” Automatic Speech Recognition and Understanding, 2003. ASRU’03. 2003 IEEE Workshop on. IEEE.
[2] Rasooli, Pooya, and Amir Albadvi. ”Knowledge Management in Call Centres.” Electronic Journal of Knowledge Management 5, no. 3 (2007):323-332.
[3] Ferna´ndez, Alberto, Salvador Garc´ıa, Mar´ıa Jose´ del Jesus, and Francisco Herrera. ”A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.”Fuzzy Sets and Systems 159, no. 18 (2008): 2378-2398.
[4] Juan Li, Nazia Zaman, Ammar Rayes, Ernesto Custodio”Semantics- enhanced Online Intellectual Capital Mining Service for Enterprise Customer Centers ”2015
[5] Nidhin Thomas, Atharva Joshi, Rishikesh Misal and Dr Manjula R “Data Mining techniques used in software engineering: A Survey” 2016.
[6] https://www.ics.uci.edu/~eppstein/161/960227.html
[7] https://www.geeksforgeeks.org/searching-for-patterns-set-2-kmp-algorithm/
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