Big Data Applications in the Telecommunications Industry
Seiten
2016
IGI Global (Verlag)
978-1-5225-1750-4 (ISBN)
IGI Global (Verlag)
978-1-5225-1750-4 (ISBN)
Presents 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. This publication features extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction.
The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize.
Big Data Applications in the Telecommunications Industry 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, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on data science and wireless network communications.
Topics Covered
The many academic areas covered in this publication include, but are not limited to:
Anomaly Detection
Co-Occurrence Data Modeling
Consumer Feedback
Customer Satisfaction and Retention
Network Accessibility
Social Networks
Traffic Data
The growing presence of smart phones and smart devices has caused significant changes to wireless networks. With the ubiquity of these technologies, there is now increasingly more available data for mobile operators to utilize.
Big Data Applications in the Telecommunications Industry 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, this publication is ideally designed for engineers, students, professionals, academics, and researchers seeking innovative perspectives on data science and wireless network communications.
Topics Covered
The many academic areas covered in this publication include, but are not limited to:
Anomaly Detection
Co-Occurrence Data Modeling
Consumer Feedback
Customer Satisfaction and Retention
Network Accessibility
Social Networks
Traffic Data
Ye Ouyang Verizon Wireless, USA Mantian Hu Chinese University of Hong Kong, China
| Erscheinungsdatum | 06.01.2017 |
|---|---|
| Reihe/Serie | Research Essentials Collection |
| Verlagsort | Hershey |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 639 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Software Entwicklung ► User Interfaces (HCI) | |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Technik ► Elektrotechnik / Energietechnik | |
| Technik ► Nachrichtentechnik | |
| ISBN-10 | 1-5225-1750-2 / 1522517502 |
| ISBN-13 | 978-1-5225-1750-4 / 9781522517504 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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