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              <text>Treexpan instantiation of xpattern framework</text>
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              <text>PathXP; Structure-based XML clustering; TreeXP; XML; XML clustering; XPattern</text>
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              <text>Most of the data generated from social media, Internet of Things, etc. are semi-structured or unstructured. XML is a leading semi-structured data commonly used over cross-platforms. XML clustering is an active research area. Because of the complexity of XML clustering, it remains a challenging area in data analytics, especially when Big Data is considered. In this paper, we focus on clustering of XML based on structure. A novel method for representing XML documents, Compressed Representation of XML Tree, is proposed following the concept of frequent pattern tree structure. From the proposed structure, clustering is carried out with a new algorithm, TreeXP, which follows the XPattern framework. The performances of the proposed representation and clustering algorithm are compared with a well-established PathXP algorithm and found to give the same performance, but require very less time.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.</text>
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              <text>Accottillam T.; Remya K.T.V.; Raju G.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-132, pp. 61-69.</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-15-5309-7_7" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-15-5309-7_7&lt;/a&gt;
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              <text>ISSN: 23673370</text>
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              <text>Accottillam T., Department of Information Technology, Kannur University, Kannur, 670567, Kerala, India; Remya K.T.V., Department of Information Technology, Kannur University, Kannur, 670567, Kerala, India; Raju G., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Kanminike, Kumbalagod, Bengaluru, 560074, India</text>
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