John A. Atkinson-Abutridy

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An evolutionary approach that combines information extraction technology and genetic algorithms can produce a new, integrated model for text mining. Text mining discovers unseen patterns in textual databases. We've brought together the benefits of GAs for data mining and IE technology to propose a new approach for high-level knowledge discovery. Unlike(More)
We present a novel evolutionary model for knowledge discovery from texts (KDTs), which deals with issues concerning shallow text representation and processing for mining purposes in an integrated way. Its aims is to look for novel and interesting explanatory knowledge across text documents. The approach uses natural language technology and genetic(More)
The focus of this work is to develop a technique/algorithm which can mine the details from text resumes and give the optimized solution on the basis of the information extracted from the text. The details extracted are: communication details such as email ids, contact numbers, address, location etc. ; academic details such as percentage in Matriculation,(More)
in this ongoing research, an integrated approach for discovering high-level knowledge from texts by exploiting both local (contextual) information and global hypotheses is proposed. The underlying model which integrates Information Extraction and evolutionary techniques to produce interesting and novel hypotheses rules is described. In addition, novel(More)
Journal of Research and Practice in Information Technology, Vol. 34, No. 1, February 2002 2 Copyright© 2001, Australian Computer Society Inc. General permission to republish, but not for profit, all or part of this material is granted, provided that the JRPIT copyright notice is given and that reference is made to the publication, to its date of issue, and(More)