원문정보
초록
영어
Today, people use various kinds of information technology applications to deal with applications in our daily life, which generates lots of information. However,most of the informationis just stored in many Distributed Heterogeneous Databases (DHDs) as log records, instead of being used abundantly and effectively. In this paper, we mainly discusses about how to use these data in useful ways by Data Mining (DM). Relative to thetraditional Data Mining based on Data Warehouse (WD),we propose a definition named Application Data Pool (ADP)replacing WD in this paper. And we design a KnowledgeDiscovery in Databases (KDD) model with ADP to use these data more efficiently. At last we use an application in Shanghai University ID Card designed with the ADP to prove the effectiveness and feasibility in KDD.
목차
1. Introduction
2. Application Data Pool
2.1. Data Importing Controller
2.2. Data Removing Controller
2.3. Capacity Balance Controller
2.4. Structure of ADP
3. KDD Model with ADP
4. Application Examples
4.1. Finding out the Students who have Potential to get Scholarship
4.2. Finding out the Students who may be Absent
4.3. Analysis of the StudentHealth
5. Conclusions
Acknowledgement
References