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Article type: Research Article
Authors: Moon, Ilhwan | Kim, Samkeun | Lho, Young Uhg | Suh, Sang C.
Affiliations: Department of Computer Engineering, Hankyong National University, Anseong, South Korea | Department of Computer Education, Silla University, Busan, South Korea | Department of Computer Science & Information Systems, Texas A&M University – Commerce, TX, U.S.A
Note: [] Corresponding author. Email: skim@hknu.ac.kr. Tel: (+82)316705163
Abstract: This paper describes a Service Oriented Architecture (SOA) based on Web services technology designed to assist producers in precision farming in the implementation of decision tree based Cropland Suitability Evaluation (CSE) decisions. The proposed SOA delivers a recommendation service to carry out CSE. The recommendation service is supported by three components that perform the knowledge discovery process by data extraction (Data Provider), refinement of relevant dataset formats (Data Refinement Assistant) and data-driven estimation of significances-by-attributes (Attribute Evaluator). We also suggest several data extraction functions in knowledge discovery process, the data refinement method transforming naïve candidate datasets into compact and unified ones and the data-driven Attribute Significance Quantification (ASQ) algorithm for quantifying the influence of attributes on the decision tree.
Keywords: decision support systems, service oriented architecture, data extraction, decision tree, cropland suitability evaluation
DOI: 10.3233/jid-2012-0012
Journal: Journal of Integrated Design & Process Science, vol. 16, no. 2, pp. 65-78, 2012
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