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Big data applications in the telecom...
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Hu, Mantian, (1981-)
Big data applications in the telecommunications industry[electronic resource] /
Record Type:
Language materials, printed : Monograph/item
[NT 15000414]:
384.30285/57
Title/Author:
Big data applications in the telecommunications industry/ Ye Ouyang and Mantian Hu, editors.
other author:
Ouyang, Ye,
Published:
Hershey, Pennsylvania : : IGI Global,, [2017]
Description:
1 online resource (216 p.) : : ill.
Subject:
Network performance (Telecommunication) - Reliability.
Subject:
Big data.
ISBN:
9781522517511 (ebk.)
ISBN:
9781522517504 (hbk.)
[NT 15000227]:
Includes bibliographical references and index.
[NT 15000228]:
Detecting abnormal traffic in wireless networks using unsupervised models / Alexis Huet -- Evaluating wireless network accessibility performance via clustering-based model: an analytic methodology / Yan Wang, Zhensen Wu -- Modeling for time generating network: an advanced Bayesian model / Yirui Hu -- Identifying dissatisfied 4G customers from network indicators: a comparison between complaint and survey data / Xinling Dai -- Predicting 4G adoption with Apache Spark: a field experiment / Mantian (Mandy) Hu -- Mining of leaders in mobile telecom social networks / Mantian (Mandy) Hu -- Network-based targeting: big data application in mobile industry / Chu (Ivy) Dang -- Anomaly detection in wireless networks: an introduction to multi-cluster technique / Yirui Hu -- Continuous-time Markov chain-based reliability analysis for future cellular networks / Hasan Farooq, Md Salik Parwez, Ali Imran -- Spectral efficiency self-optimization through dynamic user clustering and beam steering / Md Salik Parwez [and 3 others].
[NT 15000229]:
"This book is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction"--Provided by publisher.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-1750-4
Big data applications in the telecommunications industry[electronic resource] /
Big data applications in the telecommunications industry
[electronic resource] /Ye Ouyang and Mantian Hu, editors. - Hershey, Pennsylvania :IGI Global,[2017] - 1 online resource (216 p.) :ill.
Includes bibliographical references and index.
Detecting abnormal traffic in wireless networks using unsupervised models / Alexis Huet -- Evaluating wireless network accessibility performance via clustering-based model: an analytic methodology / Yan Wang, Zhensen Wu -- Modeling for time generating network: an advanced Bayesian model / Yirui Hu -- Identifying dissatisfied 4G customers from network indicators: a comparison between complaint and survey data / Xinling Dai -- Predicting 4G adoption with Apache Spark: a field experiment / Mantian (Mandy) Hu -- Mining of leaders in mobile telecom social networks / Mantian (Mandy) Hu -- Network-based targeting: big data application in mobile industry / Chu (Ivy) Dang -- Anomaly detection in wireless networks: an introduction to multi-cluster technique / Yirui Hu -- Continuous-time Markov chain-based reliability analysis for future cellular networks / Hasan Farooq, Md Salik Parwez, Ali Imran -- Spectral efficiency self-optimization through dynamic user clustering and beam steering / Md Salik Parwez [and 3 others].
Restricted to subscribers or individual electronic text purchasers.
"This book is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction"--Provided by publisher.
Mode of access: World Wide Web.
ISBN: 9781522517511 (ebk.)Subjects--Topical Terms:
690260
Network performance (Telecommunication)
--Reliability.Subjects--Index Terms:
Anomaly detection
LC Class. No.: TK5105.5956 / .B54 2017e
Dewey Class. No.: 384.30285/57
Big data applications in the telecommunications industry[electronic resource] /
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[electronic resource] /
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Ye Ouyang and Mantian Hu, editors.
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Hershey, Pennsylvania :
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IGI Global,
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[2017]
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1 online resource (216 p.) :
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ill.
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Includes bibliographical references and index.
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Detecting abnormal traffic in wireless networks using unsupervised models / Alexis Huet -- Evaluating wireless network accessibility performance via clustering-based model: an analytic methodology / Yan Wang, Zhensen Wu -- Modeling for time generating network: an advanced Bayesian model / Yirui Hu -- Identifying dissatisfied 4G customers from network indicators: a comparison between complaint and survey data / Xinling Dai -- Predicting 4G adoption with Apache Spark: a field experiment / Mantian (Mandy) Hu -- Mining of leaders in mobile telecom social networks / Mantian (Mandy) Hu -- Network-based targeting: big data application in mobile industry / Chu (Ivy) Dang -- Anomaly detection in wireless networks: an introduction to multi-cluster technique / Yirui Hu -- Continuous-time Markov chain-based reliability analysis for future cellular networks / Hasan Farooq, Md Salik Parwez, Ali Imran -- Spectral efficiency self-optimization through dynamic user clustering and beam steering / Md Salik Parwez [and 3 others].
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"This book is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction"--Provided by publisher.
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Also available in print.
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Mode of access: World Wide Web.
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Description based on title screen (IGI Global, viewed 01/08/2017).
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Network performance (Telecommunication)
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Reliability.
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Anomaly detection
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Network accessibility
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1981-
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-1750-4
based on 0 review(s)
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