Using Network Concept Method and Data Mining Techniques to Implement Self-realization and Happiness Factor analysis

DOI

10.2991/citcs.2012.50How to use a DOI?

Keywords

Data mining techniques, Network Concept Method, Information content Inclusion Relation, Happiness Index, Nationality

Abstract

This paper is achieved by means of the method of Information content Inclusion Relation-IIR and Data mining techniques. We present what an IIR is, and how IIR can be identified from both a concept and a database, and then reasoning about them. Data mining techniques and tools are developed for finding otherwise hidden knowledge from data of different group cultures, and the path between the self and Happiness Index. We explore network concept method to support reasoning about the information content of Self-realization and Happiness Index in northwest Districts in China. Our basic ideas rest with concept and the notions of information content concerning the applicability to other group cultures of a model developed on the basis of socially defined self-realizations and their consequences for Happiness Index. In contrast to the social orientation of the Han nationality, Hui nationality enjoys orientation in the Northwest district. Personalized and nonpersonalized self-realization, Self-centered Scale (SC), the good Relationship Scale (RS) and the Satisfaction with Life Scale (SL) were administered to test the model.

Copyright

© 2012, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wen yan Wang
PY  - 2012/11
DA  - 2012/11
TI  - Using Network Concept Method and Data Mining Techniques to Implement Self-realization and Happiness Factor analysis
BT  - Proceedings of the 2012 National Conference on Information Technology and Computer Science
PB  - Atlantis Press
SP  - 184
EP  - 187
SN  - 1951-6851
UR  - https://doi.org/10.2991/citcs.2012.50
DO  - 10.2991/citcs.2012.50
ID  - Wang2012/11
ER  -