activity
20162023
most citedFocusing on a Probability Element: Parameter Selection of Message Importance Measure in Big Data

16 citations · 87 across the 18 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.IT2018

Age of Information Upon Decisions

Yunquan Dong, Zhengchuan Chen, Shanyun Liu +1

We consider an M/M/1 update-and-decide system where Poisson distributed decisions are made based on the received updates. We propose to characterize the freshness of the received u…

cs.IT2018

A Switch to the Concern of User: Importance Coefficient in Utility Distribution and Message Importance Measure

Shanyun Liu, Rui She, Shuo Wan +2

This paper mainly focuses on the utilization frequency in receiving end of communication systems, which shows the inclination of the user about different symbols. When the average…

cs.IT2018

Differential Message Importance Measure: A New Approach to the Required Sampling Number in Big Data Structure Characterization

Shanyun Liu, Rui She, Pingyi Fan

Data collection is a fundamental problem in the scenario of big data, where the size of sampling sets plays a very important role, especially in the characterization of data struct…

cs.IT2018★ 2 cited

How Many Samples Required in Big Data Collection: A Differential Message Importance Measure

Shanyun Liu, Rui She, Pingyi Fan

Information collection is a fundamental problem in big data, where the size of sampling sets plays a very important role. This work considers the information collection process by…

cs.IT2018

State Variation Mining: On Information Divergence with Message Importance in Big Data

Rui She, Shanyun Liu, Pingyi Fan

Information transfer which reveals the state variation of variables usually plays a vital role in big data analytics and processing. In fact, the measures for information transfer…