This paper investigates the possibility of identifying classes by clustering. This study includes employing Self-Organizing Maps (SOM) in identifying clusters from EEG signals that could then be mapped to emotional classes. Beginning by training varying sizes of SOM with the EEG data provided...

This article describes how clustering is an attractive and major task in data mining in which particular set of objects are grouped according to their similarities based on some criteria. Among the numerous algorithms, k-Means is the best and efficient in address clustering problems. Any expert...

This article describes how the number of fatal traffic accidents has been decreasing in Japan because of recent safety technologies of vehicles, such as stiff cabins, antilock braking systems, and seat belts. Automated vehicles and advanced driver assistance systems can advance the trend....

Educational Informatics is a multidisciplinary research area that uses Information and Communication Technology (ICT) in education. This article reports a wide overview about the new perspective of educational informatics that has been implemented in Latin America. This general view is the...

This article describes how online reviews play an important role in data driven decision making. Many efforts have been invested in determining the overall sentiment carried by the reviews. However, oftentimes, the overall ratings of the reviews do not represent opinions toward specific...

This article proposes a route-planning method for an environment in which self-driving vehicles are widely used. Such vehicles generate a new route to avoid traffic congestion when it occurs. Through the self-developed traffic simulator, the author was able to clarify that it is not always best...

In this article, based on image transformation of HSV (Hue, Saturation, Value), the authors propose a method for cancer nuclei segmentation when such conflicts of cancer nuclei involve ‘omics' indicative of brain tumors pathologically. To constrain the problem space in the region of color...

This article describes how the Autism Spectrum Disorder (ASD) is a collection of heterogeneous disorders with prevalent cognitive and behavioral abnormalities. ASD is generally considered a life-long disability occurring as a stand-alone disorder but it occurs with possible co-morbid conditions....

This article describes how stateful data analytic frameworks have emerged to provide fresh and low-latency results for big data processing. At present, it is desired to achieve the fine-grained data model in Spark data processing framework. However, Spark adopts coarse-grained data model in...