Big data analytics:Computational intelligence techniques and application areas

Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment

Rollins College Winter Term 1987

Rollins College catalogue with list of faculty and students and courses by department

Rollins College Catalog Winter Term 1987

Rollins College catalogue with list of faculty and students and courses by department

Segmentation Analysis of Students in X Course with RFM Model and Clustering

In the business world, the competition to maintain and obtain more customers has become tougher. The presence of new players entering the market is driven by the developments of internet and advertisement. The X guitar course is an institution engaged in the field of non-formal education services. The customers are the course student that has made the payment transaction. The map of customer segmentation is one of the most important components in finding the main needs of each customer. Know the main needs of each customer is expected to increase the customer’s loyalty. Customer segmentation can be done by using the clustering method through a data mining approach in the form of RFM (Recency, Frequency and Monetary) Models. Recency is the data of the last payment transaction date. Frequency shows the number of course payment transactions. Monetary comes from the nominal amount of the transaction. RFM data is combined with the Fuzzy Gustafson-Kessel and K-Means clustering method to produce output in the form of k-clusters of customer. The formed segment is expected to represent the need of customers that vary by using validation process with the Global Silhouette Index. The customer population of the course is 225 students. It has been concluded that the RFM score for each subject by using 3 FGK clusters is the optimum cluster model with the largest Silhouette Index, which is 0.523. This research is expected to provide an in-depth analysis of customer segmentation for X guitar course

Democratic Classrooms: A Handbook for Development

The characteristics and principles of a democratic classroom was investigated; a description of related theories is provided, including those of John Dewey and Paulo Freire. A handbook of activities was created to provide a resource for teachers who desire to create a more democratic classroom. The handbook includes questionnaires, assignments and activities, information about class meetings and ways to explore personality types, among other things

Professional competency of modern specialist: means of formation, development and improvement

The modern scientific and methodical approaches to the study and analysis of professional competence that are in line with the state requirements for reforming education and the tendencies of introducing a competent approach as one of the key factors of today's vocational education are analyzed. The emphasis is placed on the fact that implementation of the competence approach should include the use of professional training of real professional tasks with the orientation of future professionals to analyze the results of their own professional activities and decisions. The basic principles of professional training of future managers of economic security are determined. It has been established that the professional training of future managers of economic security should be carried out on a modular basis

Graduate Course Descriptions, 2005 Fall

Wright State University graduate course descriptions from Fall 2005

Graduate Course Descriptions, 2006 Winter

Wright State University graduate course descriptions from Winter 2006

Undergraduate and Graduate Course Descriptions, 2013 Summer

Wright State University undergraduate and graduate course descriptions from Summer 2013