Dario Rodríguez

Information mining processes based on intelligent systems

Business Intelligence offers an interdisciplinary approach (within which is Information Systems), that taking all available information resources and using of analytical and synthesis tools with the ability to transform information into knowledge, focuses on generating knowledge that contributes to the management decision-making and generation of strategic plans in organizations. Information Mining is the sub-discipline of information systems which supports business intelligence tools to transform information into knowledge. It has defined as the search for interesting patterns and important regularities in large bodies of information. We address the need to identify information mining processes to obtain knowledge from available information. When information mining processes are defined, we may decide which data mining algorithms will support the information mining processes. In this context, this paper proposes a characterization of the information mining process related to the following business intelligence problems: discovery of rules of behavior, discovery of groups, discovery of significant attributes, discovering rules of group membership and weight of rules of behavior or rules of group memberships.

Fuzzy Control For Improving Energy Management Within Indoor Building Environments

Research on energy efficiency in buildings has proved that the design and even the sophisticated facilities such as building energy management systems (BEMS), aiming to improve the indoor environmental conditions while minimizing the energy needs, are not sufficient enough due to users interference. Users are a dynamic part of the building, therefore they should be taken into account in the control strategy. Latest trends in designing intelligent building energy management systems (IBEMS) integrate a man machine interface that could store the users preferences and adapt the control strategy accordingly. The objective of the present paper is to present the advantages of the fuzzy control techniques together with a man machine interface based on a smart card terminal in satisfying the user preferences. A fuzzy controller is developed and the minimization of energy consumption is achieved by the use of a suitable cost function for the whole system. The overall control system including the cost function has been modeled and tested by using the software tool MATLAB/SIMULINK.

Work in progress - programming misunderstandings discovering process based on intelligent data mining tools

We present research work in progress that focuses on data mining tools used for helping teachers to apply a three step knowledge discovering process to diagnose studentspsila misunderstandings (and their causes) related to their programming errors.

Detecting Unusual Changes of Users Consumption

The points being approached in this paper are: the problem of detecting unusual changes of consumption in mobile phone users, the corresponding building of data structures which represent the recent and historic users’ behavior bearing in mind the information included in a call, and the complexity of the construction of a function with so many variables where the parameterization is not always known.

A Proposal of Interaction Modelling Formalisms in Virtual Collaborative Work Spaces

The virtual collaborative workspaces allow integration of work groups in which members are not physically contiguous. There is a vast literature related to modeling of software architectures that support this type of environment. However, the existing formalisms model the interaction between actors and between system and system components. In this context, this paper proposes modeling artifacts (which supplement the existing) to describe: domain vocabulary through table category-concept-definition; interactions among actors through interaction cases, interaction group diagrams, interaction procedures and sequence diagram of group dynamics; and development by group of conceptual artifacts through diagram of development of conceptual objects. we present a proof of concept to illustrate the proposal.

Optimizing Building's Environments Performance Using Intelligent Systems

This article describes an intelligent system architecture that based on neural networks, expert systems and negotiating agents technologies is designed to optimize intelligent buildings performance. By understanding a building as a dynamic entity capable of adapting itself not only to changing environmental conditions but also to occupants living habits, high standards of comfort and user satisfaction can be achieved. Results are promising and encourage further research in the field of artificial intelligence applications in building automation systems.

Deriving Processes of Information Mining Based on Semantic Nets and Frames

There are information mining methodologies that emphasize the importance of planning for requirements elicitation along the entire project in an orderly, documented, consistent and traceable manner. However, given the characteristics of this type of project, the approach proposed by the classical requirements engineering is not applicable to the process of identifying the problem of information mining, nor allows to infer from the business domain modelling, the information mining process which solves it. This paper proposes an extension of semantic nets and frames to represent knowledge of the business domain, business problem and problem of information mining; and a methodology to derive the information mining process from the proposed knowledge representations is introduced.

Collaborative Research Training Based on Virtual Spaces

A possible strategy for training researchers is to provide integrated research cores with researchers-in-training under the guidance of a senior trained researcher. Information technology and communication have enabled the construction of virtual communities formed by individuals who may be far away physically but who are cognitively close, hence giving rise to collaborative research training models. In this context, this paper formulates an approach to identify the elements of the work space of a research group devoted to research training and to assess the technological feasibility of virtualization of such elements.

A Multi-agent Intelligent Tutoring System for Learning Computer Programming

In this paper, we consider a multi-agent intelligent tutoring system for the learning of computer programming. It provides a multiple domain learning environment for language learners. The aim of the system is to teach the target domain by using a supporting domain(s) to reinforce the learning of it. The system is strongly built upon a cognitive theory that affirms there are successful knowledge transfers in the learning of knowledge-rich domains like computer programming. To implement it, we chose a multi-agent system because of the features of agents, which provide flexibility for future expansion.

Intelligent Systems Applied to Optimize Building’s Environments Performance

By understanding a building as a dynamic entity capable of adapting itself not only to changing environmental conditions but also to occupant’s living habits, high standards of comfort and user satisfaction can be achieved. An intelligent system architecture integrating neural networks, expert systems and negotiating agents technologies is designed to optimize intelligent building’s performance. Results are promising and encourage further research in the field of AI applications in building automation systems.