Inductive databases have been proposed as general purpose databases to support the KDD process. Unfortunately, the heterogeneity of the discovered patterns and of the different conceptual tools used to extract them from source data make difficult the integration in a unique framework. In this paper, we explore the feasibility of using XML as the unifying framework for inductive databases, and propose a new model, XML for Data Mining (XDM). We show the basic features of the model, based on the concepts of data item (source data and patterns) and statement (used to manage data and derive patterns). We make use of XML Namespaces (to allow the effective coexistence and extensibility of data mining operators) and of XML-Schema, by means of which we can dfine the schema, the state and the integrity constraints of an inductive database.

An XML-Based Database for Knowledge Discovery: Definition and Implementation

MEO, Rosa;
2007

Abstract

Inductive databases have been proposed as general purpose databases to support the KDD process. Unfortunately, the heterogeneity of the discovered patterns and of the different conceptual tools used to extract them from source data make difficult the integration in a unique framework. In this paper, we explore the feasibility of using XML as the unifying framework for inductive databases, and propose a new model, XML for Data Mining (XDM). We show the basic features of the model, based on the concepts of data item (source data and patterns) and statement (used to manage data and derive patterns). We make use of XML Namespaces (to allow the effective coexistence and extensibility of data mining operators) and of XML-Schema, by means of which we can dfine the schema, the state and the integrity constraints of an inductive database.
Intelligent Databases: Technologies and Applications
IGI Publishing
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9781599041216
https://igi-pub.com/books/details.asp?id=6155
Data Mining; Knowledge Query Manipulation Language; Knowledge Discovery; Managing Data Resource; Meta Model; Olap -- Online Analytical Processing; Special Purpose Languages; Web Architecture; Web-Based Applications; Web-Based Database; XML
R. MEO; G. PSAILA
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2318/12564
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