What is it about?
Process of finding the truth from conflicting values of an object provided by multiple sources is called truth discovery or fact-finding. The main purpose of the truth discovery is to find more and more trustworthy information and reliable sources. Because the major assumption of truth discovery is on this intuitive principle, the source that provides trustworthy information is considered more reliable, and moreover, if the piece of information is from a reliable source, then it is more trustworthy.
Featured Image
Photo by fabio on Unsplash
Why is it important?
We present a method using an optimization framework which minimizes the overall weighted deviation between the truths and the multi-source observations. In this framework, different types of distance functions can be plugged in to capture the characteristics of different data types. We use weather datasets collected by four different platforms for extensive experiments and the results verify both the efficiency and precision of our methods for truth discovery.
Perspectives
Major characteristic of this model is its ability to take various loss and regularization functions into consideration to characterize different data types and weight distributions effectively. This article was inspired by my graduation thesis and I am proud of my contribution in it.
Mr. Muhammad Faisal Buland IQBAL
Xiangtan University
Read the Original
This page is a summary of: Better Weather Forecasting through truth discovery Analysis, July 2017, ACM (Association for Computing Machinery),
DOI: 10.1145/3144789.3144797.
You can read the full text:
Contributors
The following have contributed to this page
