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This research demonstrates the application of association rule mining to spatio-temporal data. Association rule mining seeks to discover associations among transactions encoded in a database. An association rule takes the form A → B where A (the antecedent) and B (the consequent) are sets of predicates. A spatio-temporal association rule occurs when there(More)
This research demonstrates the application of association rule mining to spatio-temporal data. Association rule mining seeks to discover associations among transactions encoded in a database. An association rule takes the form A ? B where A (the antecedent) and B (the consequent) are sets of predicates. A spatio-temporal association rule occurs when there(More)
FCM is sensitive to initialization and tends to result in local minimum in iterations. This paper studies the crossover and mutation probability of genetic algorithm and presents a new crossover and mutation probability. The proposed clustering scheme based on genetic algorithm and fuzzy c-means takes full advantage of the global optimization of genetic(More)
PPS sampling has been widely used in the sampling survey, which uses the scale variable as the auxiliary information for the corresponding sampling design and estimation. With the development of various technologies and the advent of big data era, more and more available information turns up in the actual survey, how to select the appropriate variables as(More)
A model of fish disease diagnosis was proposed by combining rough sets theory (RST) with classifier fusion. On the basis of the attribute reduction of RST, the remaining condition attributes were used for the inputs of individual classifiers and the decision attributes as the outputs. The application of Ordered Weighted Averaging (OWA) operator as a(More)
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