Data preparation for data mining

被引：0
|
作者：
Zhang, SC
Zhang, CQ
Yang, Q
机构：
[1] Univ Technol Sydney, Fac Informat Technol, Sydney, NSW 2007, Australia
[2] Hong Kong Univ Sci & Technol, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
来源：
APPLIED ARTIFICIAL INTELLIGENCE | 2003年 / 17卷 / 5-6期
关键词：
D O I：
10.1080/713827180
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Data preparation is a fundamental stage of data analysis. While a lot of low-quality information is available in various data sources and on the Web, many organizations or companies are interested in how to transform the data into cleaned forms which can be used for high-profit purposes. This goal generates an urgent need for data analysis aimed at cleaning the raw data. In this paper, we first show the importance of data preparation in data analysis, then introduce some research achievements in the area of data preparation. Finally, we suggest some future directions of research and development.
引用
收藏
页码：375 / 381
页数：7
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