Study on mining association rules from XML data
Meng Li · Jisuanji gongcheng yu sheji · 2006
Due to its many advantages,XML(extensible markup language) has become as a standard for representing and exchanging information.The large amount of XML data emerges and a new challenge to data mining is given.Although there have been many me-thods to handle XML documents,these methods rely on the traditional relational databases more or less,i.e,mapping the XML documents into relational dataes.After carefully studying the XML data access class interface,a class interface for mining association rules from native XML data based on Apriori algorithm is given and implemented using C# in the.NET framework.