Big Data Applications in the Telecommunications Industry
Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design, Database Management, General Computing
| Author: | ISBN: | 9781522517528 | |
| Publisher: | IGI Global | Publication: | December 28, 2016 |
| Imprint: | Information Science Reference | Language: | English |
| Author: | |
| ISBN: | 9781522517528 |
| Publisher: | IGI Global |
| Publication: | December 28, 2016 |
| Imprint: | Information Science Reference |
| Language: | English |
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.
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.
