Open Access
Subscription Access
Open Access
Subscription Access
Discovering Frequent Patterns from XML Data
Subscribe/Renew Journal
Currently many websites in the internet are built with the help of XML technology. XML is used to process semi-structured as well as structured data. Also XML was designed to transport and store huge volumes of data. Compatibility between different platforms can be easily achieved with the help of XML. To manage information stored in XML and to extract information in efficient way. Many techniques have been proposed to speed up the performance of XML data. The processing is known as “XML mining”.
In this paper, based on the XML data structure, we are going to analyze the similar kind of patterns and propose the data mining technique about extracting the similar patterns from XML data. In this paper to speed up the performance we are going use FP-growth algorithm for mining similar patterns about the XML data structure. The proposed method using FP-growth algorithm applied to XML query subtrees surpass Apriori algorithm.
In this paper, based on the XML data structure, we are going to analyze the similar kind of patterns and propose the data mining technique about extracting the similar patterns from XML data. In this paper to speed up the performance we are going use FP-growth algorithm for mining similar patterns about the XML data structure. The proposed method using FP-growth algorithm applied to XML query subtrees surpass Apriori algorithm.
Keywords
XML Data, FP-Growth Method, Data Mining.
User
Subscription
Login to verify subscription
Font Size
Information
Abstract Views: 258
PDF Views: 2