In this paper, we investigate the problem of clustering XML documents based on their structure. We represent the paths in an XML document as a multiset and ...
In this paper, we investigate the problem of clustering XML documents based on their structure. We represent the paths in an XML document as a multiset and use ...
We propose a novel and efficient solution to the problem of clustering XML documents based on their structure. We use operations on multisets of paths of ...
In this paper, we investigate the problem of clustering XML documents based on their structure. We represent the paths in an XML document as a multiset and ...
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This paper represents the paths in an XML document as a multiset and uses the symmetric difference operation on multisets to define certain metrics, ...
This paper aims to improve the quality of XML data clustering by exploiting more features extracted from source schemas. In particular, it proposes clustering ...
Missing: Multisets | Show results with:Multisets
This research combines the methods of common XPath and K-means clustering that improve the efficiency for those XML documents with many different structures.
Missing: Multisets | Show results with:Multisets
Jan 23, 2015 · One of the most important XML mining tasks is XML clustering, which partitions a dataset into groups of presumably similar documents. The key to ...
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Abstract—This paper presents a distributed collaborative ap- proach to XML document clustering. According to a previous study [1], XML documents are mapped ...
Missing: Multisets | Show results with:Multisets
Oct 22, 2024 · Most of the XML clustering approaches developed so far employ pairwise similarity measures. In this paper, we study clustering algorithms, which ...
Missing: Multisets | Show results with:Multisets