S-Space College of Natural Sciences (자연과학대학) Dept. of Statistics (통계학과) Theses (Master's Degree_통계학과)
Analysis of Sales data for the Semiconductor using Data mining
데이터마이닝을 이용한 반도체 판매데이터 분석
- 자연과학대학 통계학과
- Issue Date
- 서울대학교 대학원
- 학위논문 (석사)-- 서울대학교 대학원 : 통계학과, 2014. 8. 김용대.
- Increased demand for products which are Smartphone, tabletPC and other mobile device using Mobile DRAM over the world makes sales increase of Mobile DRAM. This paper suggests valid statistical methods for application of sales data and analyzes the relation and trend among the type of Mobile DRAM, density and sales area. In addition, we could get another new idea via the result. For analysis, Clustering, logistic regression with lasso, decision tree and Partial Correlation Estimation method are introduced. glasso (graphic lasso) that is algorithm to estimate a sparse inverse covariance matrix using lasso penalty (L1 penalty) is used for partial correlation estimation and then, hub network graph is made by space (Sparse Partial Correlation Estimation) and available to be used for better decision making and developing a strategy in Marketing and Sales.