Mobile Data Mining

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 selects features to serve as the input of algorithms based on the collected and processed data
  
•  model a...