Recognizing Information Feature Variation: Message Importance Transfer Measure and Its Applications in Big Data

Recognizing Information Feature Variation: Message Importance Transfer Measure and Its Applications in Big Data

Information transfer that characterizes the information feature variation can have a crucial impact on big data analytics and processing. Actually, the measure for information transfer can reflect the system change from the statistics by using the variable distributions, similar to Kullback-Leibler...

Full description

Bibliographic Details
Main Authors: Rui She, Shanyun Liu, Pingyi Fan
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Entropy
Subjects:
information transfer measure
small probability events
big data analysis and processing
mobile edge computing (MEC)
queue theory
Online Access:http://www.mdpi.com/1099-4300/20/6/401

Internet

http://www.mdpi.com/1099-4300/20/6/401

Similar Items