Clustering techniques typically group similar instances underlying individual attributes by supposing that similar instances have similar attributes characteristic. On contrary, clustering similar instances given a specific behavior is framed through supervised learning. For instance, which...

With the development of cognitive information technology and continuous application, human society has also accelerated the development. Cognitive information is widely used in the field of oil and gas, where production forecasts are of great importance to firms and companies. In this article,...

There is a rapid increase of mass demonstrations in different locations worldwide triggered by social networks discussions, as witnessed in the USA, Egypt, and South Africa. This paper challenges the underutilization of social media to detect people's' mood and to predict their actions based on...

This article presents the relationship between a firm's advertisement spending and sales in a duopoly when information about the competitors' advertisement spending is unavailable. The competitive interaction between the firms has been modeled as imperfect information Cournot and Stackelberg...

Due to the widespread use of cloud services, the need for proper and dynamic distribution will redouble the resources. One of the most complex problems in cloud environments is resource allocation such that on one hand the resource provider should obtain maximum utilization and on the other hand...

The cyber threat to industrial control systems is an acknowledged security issue, but a qualified dataset to quantify the risk remains largely unavailable. Senior executives of facilities that operate these systems face competing requirements for investment budgets, but without an understanding...

Opportunistic Spectrum Access (OSA) in a Cognitive Radio Network (CRN) is regarded as emerging technology for utilizing the scarce Radio Frequency (RF) spectrum by allowing unlicensed secondary users (SUs) to access licensed spectrum without creating harmful interference to primary users (PUs)....

“Partitionable parallel machine” is an efficient computing system for executing parallel applications. In this paper, the problem of processors sharing among multiple users is addressed where users' requests are executed in a 2D mesh-connected multicomputer simultaneously. The problem is...

The focus of this article is on how the negotiations between professors and students that are part of the eLearning political process can be interpreted through the prism of game theory. The source of data for the case was a series of in-depth interviews with the professor and an analysis of the...