Paper Info
Title
Assessment of the Tertiary Industrial Development Level in Lucheng District of Wenzhou
Abstract
Factor analysis is a statistical method used to uncover relationships among many variables. Factor analysis could be used to separate the information gained about the interdependencies variables, helping reduce a large number of variables to a smaller number of factors for modeling purposes. It is becoming more and more popular in socio-economics statistics. This paper, based on mathematical statistics and data analysis, evaluates the tertiary industrial development level in Lucheng District of Wenzhou, benefit for deep understanding Lucheng District's tertiary industrial status, and provide the decision-making for the further investment.
Year
DOI
Venue
2009
10.1109/DBTA.2009.73
DBTA
Keywords
Field
DocType
smaller number,data analysis,lucheng district,tertiary industrial development level,interdependencies variable,tertiary industrial status,factor analysis,mathematical statistic,large number,deep understanding,investment,statistical analysis,data mining,mathematical statistics,decision support systems,databases,government,assessment,information gain
Interdependence,Computer science,Town and country planning,Decision support system,Knowledge management,Mathematical statistics,Artificial intelligence,Management science,Machine learning,Statistical analysis
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Ying Zhang116325.25
Weilai Huang240.77
Jing Hu300.34