한국데이터정보과학회:학술대회논문집
- 한국데이터정보과학회 2004년도 추계학술대회
- /
- Pages.63-75
- /
- 2004
Modeling of Environmental Survey by Decision Trees
- Park, Hee-Chang (Department of Statistics, Changwon National University) ;
- Cho, Kwang-Hyun (Department of Statistics, Changwon National University)
- 발행 : 2004.10.30
초록
The decision tree approach is most useful in classification problems and to divide the search space into rectangular regions. Decision tree algorithms are used extensively for data mining in many domains such as retail target marketing, fraud dection, data reduction and variable screening, category merging, etc. We analyze Gyeongnam social indicator survey data using decision tree techniques for environmental information. We can use these decision tree outputs for environmental preservation and improvement.