Abstract This paper applies a new approach to the identification of discourses, based on Multiple Correspondence Analysis (MCA), study discourse variation over time. The MCA keywords deals with major issue use identify discourses: allocation individual multiple discourses. Yet, as this demonstrates, also allows us observe in prevalence discourses texts patterns keyword co-occurrence. Metadata c...

Time preference has a peculiar role in determining the level of economic activities. Time preferenceis the most important origin of interest rate. In this paper we study the founders and defenders'viewpoints about time preference and then we try to criticize them. It seems that discounting futureutilities is resulting from irrationality and it is ethically indefensible too. From mathematical as...

Advanced queries that combine spatial constraints with textual relevance to retrieve objects of interest have attracted increased attention recently due to the ever-increasing rate of user-generated spatio-textual data. Motivated by this trend, in this paper, we study the novel problem of parallel and distributed processing of spatial preference queries using keywords, where the input data is s...

Time preferences are central to human decision making; therefore, a thorough understanding of their international differences is highly relevant. Previous measurements, however, vary widely in methodology, from questions answered on the Likert scale lottery-type questions. We show that these different measurements correlate large degree and they have common factor can predict broad spectrum var...

In order to predict user-favorite songs, managing user preferences information and genre classification are necessary. In this paper, we propose a preference classification about content based on real-time user brainwave and a music recommendation system based on it. We focused on classifying real-time user preferences by analyzing the user’s brainwaves. The brainwaves are acquired using a wire...