Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Restructuring decision tables for elucidation of knowledge
Data & Knowledge Engineering
Portal Information Integration and Ownership Misfits: A Case Study in a Tourism Setting
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 08
Journal of Biomedical Informatics
Ontology-based data mining approach implemented on exploring product and brand spectrum
Expert Systems with Applications: An International Journal
Explaining instance classifications with interactions of subsets of feature values
Data & Knowledge Engineering
Mining from incomplete quantitative data by fuzzy rough sets
Expert Systems with Applications: An International Journal
Inductive learning models with missing values
Mathematical and Computer Modelling: An International Journal
An investigation into knowledge-based yard crane scheduling for container terminals
Advanced Engineering Informatics
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The Internet has emerged as the primary database, and technological platform for electronic business (EB), including the emergence of online retail concerns. Knowledge collection, verification, distribution, storage, and re-use are all essential elements in retail. They are required for decision-making or problem solving by expert consultants, as well as for the accumulation of customers and market knowledge for use by managers in their attempts to increase sales. Previous data mining algorithms usually assumed that input data was precise and clean, this assumes would be eliminated if the best rule for each particular situation. The Algorithm we used in this study however, proved to function even when the input data was vague and unclean. We provided an assessment model of brand trust as an example, to show that the algorithm was able to provide decision makers additional reliable information, in the hope of building a rough set theoretical model and base of resources that would better suit user demand.