Mobile Data Mining

• Main Authors: Yao, Yuan (Author, http://id.loc.gov/vocabulary/relators/aut), Su, Xing (http://id.loc.gov/vocabulary/relators/aut), Tong, Hanghang (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Computer Science,
• Subjects: Computers.; Computer communication systems.; Information Systems and Communication Service.; Computer Communication Networks.

This SpringerBrief presents a typical life-cycle of mobile data mining applications, including: data capturing and processing which determines what data to collect, how to collect these data, and how to reduce the noise in the data based on smartphone sensors feature engineering which extracts and s...

Table of Contents:

• 1 Introduction
• 2 Data Capturing and Processing
• 3 Feature Engineering
• 4 Hierarchical Model
• 5 Personalized Model
• 6 Online Model
• 7 Conclusions.