
Research on the Decision-making Model of Value Information Selection in the Context of Big Data
Author(s) -
Daqi Dai
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/750/1/012013
Subject(s) - big data , sorting , computer science , data mining , selection (genetic algorithm) , value (mathematics) , context (archaeology) , data warehouse , data science , artificial intelligence , machine learning , algorithm , paleontology , biology
Data filtering is the first step in the utilization and development of big data, that is, obtaining value data from massive data resources, building system operation database, and realizing the mining and sorting of value data. However, restricted by the infinite big data environment and limited data acquisition ability, almost no technology can obtain all the value data. In this paper, a series of indicators are proposed to evaluate and enhance the data filtering algorithm.