earticle

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.