Person-Oriented Modeling Methodology: A Case Study on Personal Credit Scoring

In the background of huge information integration and connection in information science, understanding of the whole world has become one of the most important requirements. In order to gain a comprehensive understanding of individuals, this paper proposed person-oriented modeling methodology to cons...

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Bibliographic Details
Published in2016 49th Hawaii International Conference on System Sciences (HICSS) pp. 1205 - 1214
Main Authors Xu, Qingyuan, Wang, Ningchen
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.01.2016
Subjects
Biology
Conferences
Information management
Information science
Interactive
Methodology
Modelling
Ontologies
Organizations
personal comprehensive information
personal credit scoring
personal virtual image
personal virtual image modeling
Scoring
Semantics
Smart cities
Sociology
subject-oriented epistemology
Tasks
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Summary:In the background of huge information integration and connection in information science, understanding of the whole world has become one of the most important requirements. In order to gain a comprehensive understanding of individuals, this paper proposed person-oriented modeling methodology to construct personal virtual image which consists of personal comprehensive information, event, task and interactive rules, imposing great significance on subjective initiative and personal practice. Basic Information Units and Standard Tree Structure are employed together to depict individuals from a comprehensive perspective. This paper demonstrates how to establish an appropriate information category in detail on the basis of sociology and philosophy related theories to guarantee the completeness and rationality of the structure of personal virtual image and takes personal credit scoring as an example to prove the feasibility and effectiveness of personal virtual image model.
Bibliography:ObjectType-Article-2
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SourceType-Conference Papers & Proceedings-2
ISSN:1530-1605
2572-6862
1530-1605
DOI:10.1109/HICSS.2016.153