article · CINECA IRIS Institutial research information system (University of Pisa) · 2010

XML data mining

A. ROMEI, TURINI, FRANCO

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Abstract

With the spreading of XML sources, mining XML data can be an important objective in the near future. This paper presents a project focussed on designing a general-purpose query language in support of mining XML data. In our framework, raw data, mining models and domain knowledge are represented by way of XML documents and stored inside native XML databases. Data mining (DM) tasks are expressed in an extension of XQuery. Special attention is given to the frequent pattern discovery problem, and a way of exploiting domain-dependent optimizations and efficient data structures as deeper as possible in the extraction process is presented. We report the results of a first bunch of experiments, showing that a good trade-off between expressiveness and efficiency in XML DM is not a chimera.

Cite this paper

APA 7

ROMEI, A., & TURINI, F. (2010). XML data mining. CINECA IRIS Institutial research information system (University of Pisa).

MLA 9

ROMEI, A., and FRANCO TURINI. “XML data mining.” CINECA IRIS Institutial research information system (University of Pisa), 2010.

Chicago

ROMEI, A., and FRANCO TURINI. 2010. “XML data mining.” CINECA IRIS Institutial research information system (University of Pisa).

Harvard

ROMEI, A. and TURINI, F. (2010) ‘XML data mining’, CINECA IRIS Institutial research information system (University of Pisa).

BibTeX

@article{romei2010data,
  title = {{XML data mining}},
  author = {ROMEI, A. and TURINI, FRANCO},
  journal = {CINECA IRIS Institutial research information system (University of Pisa)},
  year = {2010}
}

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