Mobile Data Mining 1st edition by Yuan Yao, Xing Su, Hanghang Tong 3030021016 9783030021016

Mobile Data Mining 1st edition by Yuan Yao, Xing Su, Hanghang Tong – Ebook PDF Instant Download/DeliveryISBN:  3030021016, 9783030021016  

Full download Mobile Data Mining 1st edition after payment.

Product details:

ISBN-10 ‏ : ‎3030021016 

ISBN-13 ‏ : ‎ 9783030021016

Author: Yuan Yao, Xing Su, Hanghang Tong 

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 and algorithm designIn particular, this brief concentrates on the model and algorithm design aspect, and explains three challenging requirements of mobile data mining applications: energy-saving, personalization, and real-time  Energy saving is a fundamental requirement of mobile applications, due to the limited battery capacity of smartphones. The authors  explore the existing practices in the methodology level (e.g. by designing hierarchical models) for saving energy. Another fundamental requirement of mobile applications is personalization.  Most of the existing methods tend to train generic models for all users, but the authors provide existing personalized treatments for mobile applications, as the behaviors may differ greatly from one user to another in many mobile applications. The third requirement is real-time. That is, the mobile application should return responses in a real-time manner, meanwhile balancing effectiveness and efficiency.  This SpringerBrief targets data mining and machine learning researchers and practitioners working in these related fields. Advanced level students studying computer science and electrical engineering will also find this brief useful as a study guide. 

Mobile Data Mining 1st Table of contents:

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

People also search for Mobile Data Mining 1st:

    
sangeetha mobile data mining
    
pubg mobile data mining
    
injustice 2 mobile data mining
    
mobile data mining app
    
data mining mobile games

Tags: Mobile Data, Yuan Yao, Xing Su, Hanghang Tong