A New Algorithm for Data Mining

Author

Zhao, Jun-sheng ; Li, Yue-guang ; Du, Quan-guo

Author_Institution

Gansu Normal Coll. for Nat., Hezuo, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

Data mining in large databases is one of today´s challenges to database technologies. Substantial effort is dedicated to a tight coupling of database and data mining systems leading to database primitives supporting data mining tasks. In order to support a wide range of tasks. In this paper, we describe an algorithm for applying decision tree. Based on the analysis of available algorithms and previous work in this area we have identified operations which are useful for a number of algorithms. We discuss the implementation of these primitives on top of a commercial DBMS and present experimental results demonstrating the performance benefit.

Keywords

data mining; database management systems; decision trees; commercial DBMS; data mining algorithm; database primitives; database technologies; decision tree; Algorithm design and analysis; Classification tree analysis; Data mining; Database systems; Decision trees; Educational institutions; Filtering; Partitioning algorithms; Predictive models; Scalability;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5362941

Filename

5362941