Global ETD Search
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Showing 1 to 6 of 6 for “"Tree-structured data"”.
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Kernel Methods for Tree Structured Data
… information from large collections of noisy data. In many real world applications, data is naturally represented in structured form. Since traditional methods in machine learning deal with vectorial information, they require an a priori form of preprocessing. Among all the learning techniques …
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Efficient data search and synchronization for tree-structured data on mobile devices
We consider two methods about operating data for tree-structured data sets. The first method is to search particular data items and still retains all the important metadata information; the second method is to allow the data synchronization between two tree-structured files. Both of the methods are …
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Tree pattern inference and matching for wrapper induction on the World Wide Web
… examples to retrieve semantic content from tree-structured data. Specifically, we focus on HTML documents on the World Wide Web, which contain a wealth of semantic information and have a useful underlying tree structure. A user provides examples of relevant data they wish to extract from a …
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Tree model guided (TMG) enumeration as the basis for mining frequent patterns from XML documents
… of its importance and application in a number of data mining tasks, it has become the focus of many studies. A substantial amount of research has gone into the development of efficient algorithms for mining patterns from large structured or relational data. Compared with the fruitful achievements …
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Processing techniques for partial tree-pattern queries on XML data
… a de facto standard for exporting and exchanging data on the Web. XML structures data as trees. Querying capabilities are provided through patterns matched against the XML trees. Research on the processing of XML queries has focused mainly on tree-pattern queries. Tree-pattern queries are not …
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Semantics and result disambiguation for keyword search on tree data
… search is a popular technique for searching tree-structured data (e.g., XML, JSON) on the web because it frees the user from learning a complex query language and the structure of the data sources. However, the convenience of keyword search comes with drawbacks. The imprecision of the keyword …