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Based on association rules, Associative classification (AC) has shown great promise over many other classification techniques on static dataset. However, the increasing prominence of data streams arising in a wide range of advanced application has posed a new challenge for it. This paper describes and evaluates AC-DS, a new associative classification algorithm for data streams which is based on the...
Different biological labs conduct similar experiments on same diseases. It is highly desirable to have a better model based on more experimental results than that on a single result. In this paper, we propose a method for integrating microarray data from multiple sources for building classification models. To test the method, we use three real world microarray data sets from different labs with different...
Brain-computer interface research focused on using electroencephalogram(EEG) from the scalp over sensorimotor cortex to control outer device. The studies seek to improve the classification accuracy by improving the selection of signal features based on non-linear methods. Since EEG signals may be considered chaotic, chaos theory may supply effective quantitative descriptors of EEG dynamics and of...
A brain-computer interface (BCI) is a communication system that helps locked-in patients to communicate with other people by translating brain activities into machine/computer commands. This paper introduces a BCI instant messaging system (i.e. BCI messenger), which is further work of the P300-based Chinese typewriter developed in the preceding research. The BCI messenger can serve as a daily communication...
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