Name
Abstract | ||
|---|---|---|
Data mining is the discovery of knowledge and useful information from the large amounts of data stored in databases. With the increasing popularity ofobject-oriented database system in advanced database applications, it is important to study the data mining methods for object-oriented database. This paper proposes that Escher is very suitable for describing knowledge for object-oriented data mining and presents a framework for object-oriented data mining. In this framework, Type information of data and semantic information of data model can be used to guide data mining process. A specific data mining task, frequent pattern discovery is investigated under thisframework. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/FSKD.2008.298 | FSKD (2) |
Keywords | Field | DocType |
data mining,object-oriented database,specific data mining task,data mining method,advanced database application,object-oriented data mining,data mining process,ofobject-oriented database system,data model,semantic information,databases,logic programming,knowledge representation,data models,database systems,chemical elements,higher order logic,knowledge discovery | Data warehouse,Data modeling,Data mining,Data stream mining,Concept mining,Web mining,Database model,Computer science,Database design,Knowledge extraction | Conference |
Citations | PageRank | References |
2 | 0.43 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Linna Li | 1 | 2 | 0.76 |
| Bingru Yang | 2 | 186 | 26.67 |
| Faguo Zhou | 3 | 11 | 2.43 |