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Incremental Mining on Association Rules
The discovery of association rules has been known to be useful in selective marketing, decision analysis, and business management. An important...
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P-Dinamet: A Web-Based Adaptive Learning System to Assist Learners and Teachers
In this chapter we present P-Dinamet, a web-based educational system that recommends to the learner certain actions within a Physics course. We...
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Intelligent Web-Based Computer-Supported Collaborative Learning
This chapter surveys important issues in Computer-Supported Collaborative Learning (CSCL) in the context of intelligent Web-based learning...
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Some Considerations in Multi-Source Data Fusion
We introduce the data fusion problem and carefully distinguish it from a number of closely problems. Some of the considerations and knowledge that...
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Fuzzy Process Control with Intelligent Data Mining
The quality-related characteristics cannot sometimes be represented in numerical form, such as characteristics for appearance, softness, color, etc....
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Evolutionary Induction of Descriptive Rules in a Market Problem
Nowadays, face to face contact with the client continues to be fundamental to the development of marketing acts. Trade fairs are, in this sense, a...
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Web Mining – Concepts, Applications and Research Directions
From its very beginning, the potential of extracting valuable knowledge from the Web has been quite evident. Web mining, i.e. the application of data...
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Mining Association Rules from Tabular Data Guided by Maximal Frequent Itemsets
We propose the use of maximal frequent itemsets (MFIs) to derive association rules from tabular datasets. We first present an efficient method to...
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Using Multiagent Intelligence to Support Synchronous and Asynchronous Learning
This chapter presents an innovative multiagent system to support synchronous and asynchronous cooperative learning both in the real classrooms and in...
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A Didactics Aware Approach to Knowledge Transfer in Web-based Education
In this chapter we argue that the current Web-based educational systems, as well as the recent standardization efforts in this field are strongly...
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Distributed Evidence Filtering in Networked Embedded Systems
Networked embedded sensor systems use the evidence gathered by spatially distributed heterogeneous sensor nodes possessing partial and different...
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Plenary Talk Notes on Multi-agent Motion Coordination: Models and Algorithms
Motion coordination is an extraordinary phenomenon in biological systems such as schools of fish and serves as a remarkable tool for man-made groups...
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neclab: The Network Embedded Control Lab
The network embedded control lab, neclab, is a software environment designed to allow easy deployment of networked embedded control systems, in...
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A Cross-Layer Approach to Energy Balancing in Wireless Sensor Networks
We consider a many-to-one real-time sensor network where sensing nodes are to deliver their measurements to a base station under a time constraint...
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Symmetries in the Coordinated Consensus Problem
In this paper we consider a widely studied problem in the robotics and control communities, called consensus problem. The aim of the paper is to...
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Discrete Time Kuramoto Models with Delay
Motivated by the needs of multiagent systems in the presence of sensing and communication that is delayed, intermittent and asynchronous, we present...
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Distributed Control over Failing Channels
We give sufficient convex conditions for the existence of a distributed controller, with the same interconnection structure as the plant, when the...
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Modeling and Designing the Internet Congestion Control
The Internet is a set of interconnected packet switching networks each of them having its own protocol. It was soon recognized the importance of...
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Closed Loop Control of a Load Balancing Network with Time Delays and Processor Resource Constraints
The objective of parallel processing is to reduce wall-clock time and increase the size of solvable problems by dividing the code into multiple...
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Communication Requirements for Networked Control
There is an increasing interest in studying control systems employing multiple sensors and actuators that are geographically distributed....