Using Network Concept Method and Data Mining Techniques to Implement Self-realization and Happiness Factor analysis
Wen yan Wang
Wen yan Wang
Available Online November 2012.
- https://doi.org/10.2991/citcs.2012.50How to use a DOI?
- Data mining techniques, Network Concept Method, Information content Inclusion Relation, Happiness Index, Nationality
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 - 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 - https://doi.org/10.2991/citcs.2012.50 ID - Wang2012/11 ER -