Challenges in Efficient Customer Recognition in Contact Centre: State-of-the-Art Survey by Focusing on Big Data Techniques Applicability-Reference-Cited by-同舟云学术

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Challenges in Efficient Customer Recognition in Contact Centre: State-of-the-Art Survey by Focusing on Big Data Techniques Applicability

Published:2016-09 Issue: Volume: Page:
ISSN:
Container-title:2016 International Conference on Intelligent Networking and Collaborative Systems (INCoS)
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Author:

Saberi Morteza,Karduck Anne,Hussain Omar Khadeer,Chang Elizabeth

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7685688/7695003/07695238.pdf?arnumber=7695238

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Big Data in Education: Students at Risk as a Case Study;Engineering, Technology & Applied Science Research;2023-10-13

2. A review of natural language processing in contact centre automation;Pattern Analysis and Applications;2023-06-29

3. Modeling Customer Experience in a Contact Center through Process Log Mining;ACM Transactions on Intelligent Systems and Technology;2021-08-31

4. Revealing COVID-19 Data by Data Mining and Visualization;Advances in Intelligent Networking and Collaborative Systems;2021-08-07

5. Spatiotemporal Assessment of Temperature Data Products for the Detection of Warming Trends and Abrupt Transitions over the Largest Irrigated Area of Pakistan;Advances in Meteorology;2020-09-02

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