Pi-Heng Chung
Biographic Data
| ID | 6645700 |
|---|---|
| NAME | Pi-Heng Chung |
| GIVEN NAMES | Pi-Heng |
| FAMILY NAME | Chung |
| SIGNATURE | CHUNG P |
| AFFILIATIONS | Ming Chuan University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 1 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2006 |
| LATEST PUBLICATION YEAR | 2006 |
| H-INDEX | 1 |
Identifying Valuable Travelers and Their Next Foreign Destination by the Application of Data Mining Techniques
The purpose of this research is to identify “valuable travelers” from Northern Taiwan and to predict their “next foreign destination” by applying data mining techniques. Three data mining procedures were used in this research. First of all, researchers used the RFM (the recent year of traveling abroad, the frequency of traveling abroad and the monetary value spent on traveling abroad) model to identify valuable travelers. A C4.5 decision tree was…
Identifying Valuable Travelers and Their Next Foreign Destination by the Application of Data Mining Techniques
The purpose of this research is to identify “valuable travelers” from Northern Taiwan and to predict their “next foreign destination” by applying data mining techniques. Three data mining procedures were used in this research. First of all, researchers used the RFM (the recent year of traveling abroad, the frequency of traveling abroad and the monetary value spent on traveling abroad) model to identify valuable travelers. A C4.5 decision tree was…
Identifying Valuable Travelers and Their Next Foreign Destination by the Application of Data Mining Techniques
The purpose of this research is to identify “valuable travelers” from Northern Taiwan and to predict their “next foreign destination” by applying data mining techniques. Three data mining procedures were used in this research. First of all, researchers used the RFM (the recent year of traveling abroad, the frequency of traveling abroad and the monetary value spent on traveling abroad) model to identify valuable travelers. A C4.5 decision tree was…
Advertising (1 work) · Business (1 work) · Computer Science (1 work) · Customer Service Quality and Loyalty (1 work) · Data mining (1 work) · Decision tree (1 work) · Demographics (1 work) · Destinations (1 work) · Diverse Aspects of Tourism Research (1 work) · Geography (1 work)