Earticle

초록

영어

Quality data is necessary for different data mining techniques and reversely, data mining techniques can be utilized to measure quality of data. Data mining and data quality issues got much attention for relational data in past. But, as a massive amount of data is being stored and represented over the web in XML, the issue of data quality for mining purposes and also using data mining techniques for quality measures get research interest. We propose two important interrelated issues: how quality XML data is useful for data mining in XML and how data mining in XML is used to measure the quality data for XML. When we address both issues, we consider XML constraints because constraints in XML can be used for quality measurement in XML data and also for finding some important patterns and association rules in XML data mining. We mainly address the theoretical framework for data quality and data mining for XML. Our research is towards the broader task of data mining and data quality for XML data integrations.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Basic Definitions
 4. Proposed Framework
 5. Proposed Methods
  5.1. Quality Data for Data Mining in XML
  5.2. Data Mining for Quality Data in XML
  5.3. Process Iterations
 6. Conclusions
 References

키워드

저자

• Sumon Shahriar [ University of South Australia, Adelaide, Australia and Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh ]
• Sarawat Anam [ University of South Australia, Adelaide, Australia and Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605