大葉大學圖書館 |

Big data applications in the telecommunications industry[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	384.30285/57
書名/作者:	Big data applications in the telecommunications industry/ Ye Ouyang and Mantian Hu, editors.
其他作者:	Ouyang, Ye,
出版者:	Hershey, Pennsylvania : : IGI Global,, [2017]
面頁冊數:	1 online resource (216 p.) : : ill.
標題:	Network performance (Telecommunication) - Reliability.
標題:	Big data.
ISBN:	9781522517511 (ebk.)
ISBN:	9781522517504 (hbk.)
書目註:	Includes bibliographical references and index.
內容註:	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].
摘要、提要註:	"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.
電子資源:	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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245 0 0 $a Big data applications in the telecommunications industry $h [electronic resource] / $c Ye Ouyang and Mantian Hu, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2017]
300 $a 1 online resource (216 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a 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].
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "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.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
588 $a Description based on title screen (IGI Global, viewed 01/08/2017).
650 0 $a Network performance (Telecommunication) $x Reliability. $3 690260
650 0 $a Big data. $3 571002
653 $a Anomaly detection
653 $a Co-occurrence data modeling
653 $a Consumer feedback
653 $a Customer satisfaction and retention
653 $a Network accessibility
653 $a Social networks
653 $a Traffic data
700 1 $a Ouyang, Ye, $d 1981- $e editor. $3 690258
700 1 $a Hu, Mantian, $d 1981- $e editor. $3 690259
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