Alberto Hernández

Analysis of Cyber-bullying in a virtual social networking

This paper focuses on the social and cultural implications of cyber technologies. Identity, bullying and inappropriate use of communication are major issues that need to be addressed in relation to communication technologies for the security in the Web use. The contribution of this paper is to present a novel approach to explain the performance of a novel Cyber-bullying model applied on a Social Network using Multiagents to improve the understanding of this social behavior.

Bat algorithm to improve a Financial Trust Forest

A controversial topic and frequently in public policy analysis is related with temporality in projects with limited funds associated with natural resources. Public resources can be organized as a Financial Trust. Very often the relationship between the budgets requested and can be received is overwhelming, as it is very unlikely to be as necessary as that can be awarded. In addition, strategic approaches, political and ecological considerations permeate the decision-making on such assignments. To meet these regulatory criteria, underlying any prevailing public policy or government ideology, it is clear that both must be appropriate to prioritize the development projects in ecological project portfolios, these must be consistent with principles sound (for example, maximization of social benefits in the future). Computation so using novel bioinspired algorithms (In this case a Bat Algorithm) can be characterized as follows: · They can be no doubt profitable, but its benefits are indirect, perhaps only in the long run may be visible and difficult to quantify. · Apart from its potential contribution to economic welfare, are not intangible benefits in the present, which must be considered to achieve a holistic view of their ecological and social impact. · Equity in relation to the magnitude of the impact of a specific project and social conditions of the beneficiaries should also be considered. In the present study was conducted using an approach to intelligent optimization problem for a Financial Trust Forest in Chihuahua.

Data Mining in Web Applications

The World Wide Web is rapidly emerging as an important medium for commerce as well as for the dissemination of information related to a wide range of topics (e.g., business and government). According to most predictions, the majority of human information will be available on the Web. These huge amounts of data raise a grand challenge, namely, how to turn the Web into a more useful information utility (Garofalakis et al., 1999) . At the moment with the popularity of Internet, people are exhibited to a lot of information that is available for study. Nowadays there is also a great amount of applications and services that are available through Internet as they are seeking, chats, sales, etc., nevertheless much of that information is not useful for many people, but in the area of Data Mining, all the information available in the Internet represents a work opportunity and it is possible to do a lot of analysis on the basis of these with specific purposes. Knowledge Discovery and Data Mining are powerful data analysis tools. The rapid dissemination of these technologies calls for an urgent examination of their social impact. We show an overview of these technologies. The terms “Knowledge Discovery” and “Data Mining” are used to describe the ‘non-trivial extraction of implicit, previously unknown and potentially useful information from data (Wahlstrom & Roddick, 2000). Knowledge discovery is a concept that describes the process of searching on large volumes of data for patterns that can be considered knowledge about the data. The most well-known branch of knowledge discovery is data mining.

Social Data Mining to Improve Bioinspired Intelligent Systems

The proposal of this chapter is to explain the implementation of social data mining to improve results in bioinspired intelligent systems using generation of clusters, associative rules; decision trees, associated models, dioramas and multivariable analysis for obtain knowledge about any issue related with a topic. This kind of intelligent systems using bioinspired computing – specially, group intelligence techniques such as: Ant Colony, Particle Swarm Optimization and Cultural Algorithmsthat try to simulate biological processes that occur in the nature. Intelligent agents use this information to make decisions to improve a needed heuristic optimization in different fields such as: negotiation, argumentation or artificial societies simulation. First in section 2 of this chapter, we approach different concepts related with social data mining and how to use different ways to analyze and model the necessary information to support the correct decision of agents; in next three sections we explain the way to generate a specific behaviour by using group intelligence techniques –ant colony (section 3), particle swarm optimization (section 4) and cultural algorithms (section 5), In section 6, we apply this knowledge in diverse fields and application domains that use a heuristic optimization. In section 7 we compare different cases of studies: Eurovision Voting problem, and the Distribution of Elements. Finally in section 8 we provide our conclusions and outline our future research.

A Sentiment Analysis Model to Analyze Students Reviews of Teacher Performance Using Support Vector Machines

Teacher evaluation is considered an important process in higher education institutions to know about teacher performance and implement constructive strategies in order to benefit students in their education. The opinion of students has become one of the main factors to consider when evaluating teachers. In this study we present a Model called SocialMining using a corpus of real comments in Spanish about teacher performance assessment. We applied Support Vector Machines algorithm with three kernels: linear, radial and polynomial, to predict a classification of comments in positive, negative or neutral. We calculated sensibility, specificity and predictive values as evaluation measures. The results of this work may help other experiments to improve the classification process of comments and suggest teacher improvement courses for teachers.

Simulation and Application of Algorithms CVRP to Optimize the Transport of Minerals Metallic and Nonmetallic by Rail for Export

Metallic and nonmetallic minerals produced by the State of Puebla, for convenience, can be transported in containers by train to a seaport cargo exported to other countries; for transporting minerals by railways, it must analyze what the most optimal route to bring the product, taking into account various factors involved through each route in order to get a greater benefit for the transportation of minerals by train. This article comparing two metaheuristic algorithms applied to Capacitated Vehicle Routing Problem (CVRP), in order to determine which algorithm gives better optimization solutions that help you make the best route for the transfer. As a final result the implementation of an optimization algorithm Ant Colony was more successful in the runtime that on Genetic Algorithm; because it is slow to find an optimal solution among all generations.

Implementation of an chatbot in a serious game associated with the acquisition of social skills and the promotion of collaborative tasks in children

Just a few decades ago the society has been interested in the field of childrens rights. For this reason, the society as a whole has been developing strategies to achieve that commitment. As a result, it has given more attention to this society segment that is vulnerable. With this the society does not pretend to expose the individual in the early stages of his life. The way in which children live is critical in his formation when he reaches adulthood. Considering this, every field of study must be present with a childhood approach to the early stages of life. Hoping to contribute to build better generations. In the area of serious games we have better opportunities, because the games are a major part in the early stages of life and are present regardless of race, culture, religion or social status of the children. The multiple factors involved in shaping the character of children are out of their control. They are so many and varied that it becomes difficult for a child gets out unharmed. Although it is part of the natural formation of each individual processes it is different and therefore, is affected in a special way. This paper presents a serious game prototype used as an aid in the treatment of children with emotional disorder, particularly in children with some sort of depressive behavior.