Mobile Data Mining and Applications

• Main Authors: Jiang, Hao (Author, http://id.loc.gov/vocabulary/relators/aut), Chen, Qimei (http://id.loc.gov/vocabulary/relators/aut), Zeng, Yuanyuan (http://id.loc.gov/vocabulary/relators/aut), Li, Deshi (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Information Fusion and Data Science,
• Subjects: Wireless communication systems.; Mobile communication systems.; Sociophysics.; Econophysics.; Data mining.; Electrical engineering.; Mobile computing.; Urban geography.; Wireless and Mobile Communication.; Data-driven Science, Modeling and Theory Building.; Data Mining and Knowledge Discovery.; Communications Engineering, Networks.; Mobile Computing.; Urban Geography / Urbanism (inc. megacities, cities, towns).

This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data mining is addressed...

Table of Contents:

• Chapter1: Introduction
• Chapter2: Mobile Data Processing and Feature Discovery
• Chapter3: Mobile Data Application in Wireless Communication
• Chapter4: Mobile Data Application in Mobile Network
• Chapter5: Mobile Data Application in Smart City
• Chapter6: Conclusion, Remarks and Future Directions.