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Authors: F. H. Ismail 1 ; H. K. Mohammed 1 ; M. A. Ismail 2 and I. EL-Maddah 2

Affiliations: 1 Faculty of Computer Science, Misr International Univ. Cairo; Faculty of Engineering, Ain Shams Univ. Cairo, Egypt ; 2 Faculty of Engineering, Ain Shams Univ. Cairo, Egypt

Keyword(s): Mining association rules from semi-structured data, meta-rule guided mining of association rules, discovering frequent structure from XML.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Soft Computing ; Symbolic Systems ; Web Mining

Abstract: Nowadays, some information is semi-structured. The main characteristic of semi-structured data (XML) is that they have irregular structure. There is no distinction between data and structure. Even though, it is quite common that semi-structured objects representing the same sort of information have similar, though not identical, structure (pattern). Previous work has introduced templates for mining association rules from XML based on prior knowledge about the structure of the XML document. If the users do not have any knowledge about the structure in advance, what would be their clue in writing templates? In this paper, we introduce a new approach for designing association rule templates based on the automatic discovery of frequent structure in the XML document. Frequent structure serves as a schema built over the semi-structured data. This layer guides the user to the useful structure that might yield useful associations rather than choosing any piece of structure at random . The structured layer is displayed from which the user can select templates of interest. Association rules that comply with the specified templates are generated. (More)

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Paper citation in several formats:
H. Ismail, F.; K. Mohammed, H.; A. Ismail, M. and EL-Maddah, I. (2007). DESIGNING TEMPLATES FOR MINING ASSOCIATION RULES FROM XML DOCUMENTS. In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 1: WEBIST; ISBN 978-972-8865-78-8; ISSN 2184-3252, SciTePress, pages 214-219. DOI: 10.5220/0001276802140219

@conference{webist07,
author={F. {H. Ismail}. and H. {K. Mohammed}. and M. {A. Ismail}. and I. EL{-}Maddah.},
title={DESIGNING TEMPLATES FOR MINING ASSOCIATION RULES FROM XML DOCUMENTS},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 1: WEBIST},
year={2007},
pages={214-219},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001276802140219},
isbn={978-972-8865-78-8},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 1: WEBIST
TI - DESIGNING TEMPLATES FOR MINING ASSOCIATION RULES FROM XML DOCUMENTS
SN - 978-972-8865-78-8
IS - 2184-3252
AU - H. Ismail, F.
AU - K. Mohammed, H.
AU - A. Ismail, M.
AU - EL-Maddah, I.
PY - 2007
SP - 214
EP - 219
DO - 10.5220/0001276802140219
PB - SciTePress