文章基本信息

标题：Mining of XML Queries With TAR approach
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作者：P S L Sravani ; Venkata Ramana Adari
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2013
卷号：4
期号：3
页码：226-229
语种：English
出版社：Ayushmaan Technologies
摘要：Information Extraction from semi-structured documents became a very tough task because of the availability of huge digital information available on the Internet. Due to the large size of the document the query may be too big to convey interpretable knowledge. In this paper, we describe a new approach called Tree- Based Association Rules (TARs), which provide information on both the structure and the contents of Extensible Markup Language (XML) documents, and can be stored in XML format as well. This provides quick, approximate answers to queries. Furthermore this paper focuses on prototype system and experimental results which is shown and discussed effectively.
关键词：XML;TAR;Data Mining;Query Processing