Authors:
Said Mabrouk
1
;
Mahmoud Rafea
1
;
Ahmed Rafea
2
and
Samhaa El-Beltagy
2
Affiliations:
1
The Central Lab for Agricultural Expert Systems (CLAES), Egypt
;
2
AUC;Cairo University, Egypt
Keyword(s):
Data Mining, Text Mining and Clustering Techniques.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Business Analytics
;
Data Engineering
;
Data Mining
;
Databases and Information Systems Integration
;
Datamining
;
Enterprise Information Systems
;
Health Information Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Web Databases
Abstract:
VERCON (Virtual Extension and Research Communication Network) is an agriculture web-based application, developed to improve communication between agriculture research institutions and extension persons for the benefit of farmers and agrarian business. Farmers' problems component is one of VERCON main components. It is used to receive farmers' problems and provide them with solutions. Over the last five years, problems and their solutions have been accumulated in a textual database. This paper presents an integrated approach for mining these problems and their solutions. The opportunity and potential of mining and extracting information from this resource was identified with several objectives in mind, such as: a) discovering patterns and relations that can be used to enhance the utilization of this valuable resource, b) analyzing solutions given for similar problems, by different experts or by the same expert at different time in terms of their similarities and differences, and c) cr
eating patterns of problems and their solutions that can be used to classify new problems and provide solutions without the need for domain expert.
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