Learn More
—Recently, incidents in which data such as private information has leaked have occurred frequently. In many cases, the main causes of data leakage are as follows: taking data out illegally or unfairly, erroneous operation by a user with authority to access the data. We developed the operating system Salvia for the purpose of preventing data leakage(More)
—Traditional classification algorithms, in many times, perform poorly on imbalanced data sets in which some classes are heavily outnumbered by the remaining classes. For this kind of data, minority class instances, which are usually much more of interest, are often misclassified. The paper proposes a method to deal with them by changing class distribution(More)
In this paper, we present an application of soft computing into a decision support system RETS: Rheumatic Evaluation and Treatment System in Oriental Medicine (OM). Inputs of the system are severities of observed symptoms on patients and outputs are a diagnosis of rheumatic states, its explanations and herbal prescriptions. First, an outline of the proposed(More)
Learning from imbalanced data has conventionally been conducted on stationary data sets. Recently, there have been several methods proposed for mining imbalanced data streams, in which training data is read in consecutive data chunks. Each data chunk is considered as a conventional imbalanced data set, making it easy to apply sampling methods to balance(More)
The study presented explores the extent to which tactile stimuli delivered to the ten digits of a BCI-naive subject can serve as a platform for a brain computer interface (BCI) that could be used in an interactive application such as robotic vehicle operation. The ten fingertips are used to evoke somatosensory brain responses, thus defining a tactile brain(More)
In this paper, we present a computing model for diagnosis and prescription in oriental medicine. Inputs to the model are severities of symptoms observed on patients and outputs from the model are a diagnosis of disease states and treatment herbal prescriptions. First, having used rule inference with a Gaussian distribution , the most serious disease state(More)
Collaborative Decision Making (CDM) is one of the concepts of human reasoning awareness, which refers to expert knowledge of the group and its preferences in a dynamic market environment. In this paper, we present a new approach, which is a framework for collaborative decision making, together with expert feelings about market dynamics to deal with multiple(More)