Conjoint data mining of structured and semi-structured data
MetadataShow full item record
Copyright © 2008 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
With the knowledge management requirement growing, enterprises are becoming increasingly aware of the significance of interlinking business information across structured and semi-structured data sources. This problem has become more important with the growing amount of semi-structured data often found in XML repositories, web logs, biological databases, etc. Effectively creating links between semi-structured and structured data is a challenging and unresolved problem. Once an optimized method has been formulated, the process of data mining can be implemented in a conjoint manner. This paper investigates a way in which this challenging problem can be tackled. The proposed method is experimentally evaluated using a real world database and the effectiveness and the potential in discovering collective information is demonstrated.
Showing items related by title, author, creator and subject.
Rajugan, R.; Chang, Elizabeth; Feng, L.; Dillon, Tharam S. (2006)Object-Oriented (OO) conceptual modelling offers the power in describing and modelling real-word data semantics and their inter-relationships in a form that is precise and comprehensible to users . Conversely, XML  ...
Chang, Elizabeth; Rajugan, R.; Dillon, Tharam S.; Feng, L. (2005)Extensible Markup Language (XML), with its rich set of semantics and constraints, is becoming the dominant standard for storing, describing and interchanging data among various Enterprises Information Systems (EIS) and ...
Hadzic, Maja; Hadzic, Fedja; Dillon, Tharam S. (2008)The number of mentally ill people is increasing globally each year. Despite major medical advances, the identification of genetic and environmental factors responsible for mental illnesses still remains unsolved and is ...