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A constraint acquisition method for data clustering

A constraint acquisition method for data clustering

引用

18th Iberoamerican Congress on Pattern Recognition, CIARP 2013

作者： Duarte, João M. M. Fred, Ana L. N. Duarte, Fernando Jorge F. Instituto de Telecomunicações Instituto Superior Técnico Lisboa Portugal GECAD - Knowledge Engineering and Decision-Support Research Center Institute of Engineering Polytechnic of Porto Portugal

ISBN: (纸本)9783642418211

A new constraint acquisition method for parwise-constrained data clustering based on user-feedback is proposed. The method searches for non-redundant intra-cluster and inter-cluster query-candidates, ranks the candidates by decreasing order of interest and, finally, prompts the user the most relevant query-candidates. A comparison between using the original data representation and using a learned representation (obtained from the combination of the pairwise constraints and the original data representation) is also performed. Experimental results shown that the proposed constraint acquisition method and the data representation learning methodology lead to clustering performance improvements. © Springer-Verlag 2013.

关键词： Cluster analysis

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A data mining framework for electric load profiling

A data mining framework for electric load profiling

引用

2nd IEEE Latin American Conference on Innovative Smart Grid Technologies, ISGT LA 2013

作者： Ramos, Sergio Duarte, Joao M. Duarte, F. Jorge Vale, Zita Faria, Pedro GECAD Knowledge Engineering and Decision-Support Research Center Institute of Engineering Rua Dr. António Bernardino de Almeida 431 4200-072 Porto Portugal

ISBN: (纸本)9781467352741

This paper consists in the characterization of medium voltage (MV) electric power consumers based on a data clustering approach. It is intended to identify typical load profiles by selecting the best partition of a power consumption database among a pool of data partitions produced by several clustering algorithms. The best partition is selected using several cluster validity indices. These methods are intended to be used in a smart grid environment to extract useful knowledge about customers' behavior. The data-mining-based methodology presented throughout the paper consists in several steps, namely the pre-processing data phase, clustering algorithms application and the evaluation of the quality of the partitions. To validate our approach, a case study with a real database of 1.022 MV consumers was used. © 2013 IEEE.

关键词： Smart power grids

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Data clustering validation using constraints

Data clustering validation using constraints

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5th International Conference on knowledge Discovery and Information Retrieval, KDIR 2013 and the 5th International Conference on knowledge Management and Information Sharing, KMIS 2013

作者： Duarte, Jõao M. M. Fred, Ana L. N. Duarte, F. Jorge F. Instituto de Telecomunicações Instituto Superior Técnico Lisboa Portugal GECAD-Knowledge Engineering and Decision-Support Research Center Institute of Engineering Polytechnic of Porto Porto Portugal

ISBN: (纸本)9789898565754

Much attention is being given to the incorporation of constraints into data clustering, mainly expressed in the form of must-link and cannot-link constraints between pairs of domain objects. However, its inclusion in the important clustering validation process was so far disregarded. In this work, we integrate the use of constraints in clustering validation. We propose three approaches to accomplish it: produce a weighted validity score considering a traditional validity index and the constraint satisfaction ratio;learn a new distance function or feature space representation which better suits the constraints, and use it with a validation index;and a combination of the previous. Experimental results in 14 synthetic and real data sets have shown that including the information provided by the constraints increases the performance of the clustering validation process in selecting the best number of clusters.

关键词： Cluster analysis

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A methodology for the design of fuzzy fractional PID controllers

A methodology for the design of fuzzy fractional PID control...

引用

10th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2013

作者： Barbosa, Ramiro S. Jesus, Isabel S. GECAD - Knowledge Engineering and Decision Support Research Center ISEP/IPP - School of Engineering Polytechnic Institute of Porto Rua Dr. Antonio Bernardino de Almeida 431 Porto Portugal

ISBN: (纸本)9789898565709

This paper proposes two novel fuzzy fractional PID structures. The tuning of the fuzzy fractional controllers is based on the prior knowledge of fractional-order control tuning rules. The digital implementation of these controllers is also investigated. The effectiveness and robustness of the proposed tuning methodology is illustrated through its application on a fractional-order plant. The simulations results show that the control system performance is better than that of conventional fractional PID control.

关键词： Three term control systems

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Improving semantic interoperability with ontology alignment negotiation and reutilization 13

Improving semantic interoperability with ontology alignment ...

引用

15th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2013

作者： Nascimento, Virgínia Viamonte, Maria João Canito, Alda Silva, Nuno GECAD - Knowledge Engineering and Decision Support Research Center ISEP/IPP R. Dr. António Bernardino de Almeida 431 P-4200-072 Porto Portugal

ISBN: (纸本)9781450321136

Following the results achieved during our previous research, which demonstrated the importance of using adequate ontology alignments during agents' communications, we have proposed a new approach for ontology alignment negotiation where, rather than selecting (and negotiating) the ontology alignment to be used, business agents will also be allowed to negotiate the alignment composition itself. With this approach, we aim to promote not only the reutilization of existent ontology alignments, but also their combination, allowing achieving more adequate or complete alignments. On the other hand, the involvement of the business agents in the ontology alignment composition process allows excluding irrelevant correspondences, leading to more adequate alignments as well as a more accurate and trustful evaluation of their performance. In this paper we present the implementation of such approach as well as some preliminary results. © 2013 ACM.

关键词： Ontology

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A portable spatial monitoring system for autonomous heart diagnosis

A portable spatial monitoring system for autonomous heart di...

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International Conference on e-health Networking, Applications and Services (HealthCom)

作者： António Meireles Lino Figueiredo Luís Seabra Lopes GECAD Knowledge Engineering and Decision Support Research Center Aveiro Portugal GECAD Knowledge Engineering and Decision Support Research Center Porto Portugal IEETA - Institute of Electronics and Telematics Engineering of Aveiro Aveiro Portugal

Heart disorders are one of the most problematic issues of human health. There are currently many efforts to reduce the time for first assistance based on electronic systems that continuously records the electric heart activity for further inspection and anomalies detection. The most popular are portable monitoring systems based on the Electrocardiogram (ECG) signal. However, an efficient detection of heart problems still being a big challenge mainly due to the difficulty of accessing some specific cardiac problems and signal variations between different patients. A different technique for heart diagnosing is based on spatial recording of electrical heart activity, commonly known as Vectorcardiogram (VCG). VCG is pointed by several authors as a more efficient tool than ECG for heart inspection and problem detection. This research explores the possibility of using VCG signals in a portable device for constant heart monitoring and injuries detection. It is presented a portable solution with VCG recording and digital signal processing for automatic diagnosis. This paper covers the aspects of the VCG signal and its ability to be converted into a 12-lead ECG signal. It is also presented a system for automatic diagnosis based on VCG which is based on a multichannel portable hardware platform to support noise cancellation, parameter extraction and decision making algorithms.

关键词： Electrocardiography Heart Electrodes decision making Myocardium Noise cancellation Digital signal processing

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Electricity Markets Portfolio Optimization Using a Particle Swarm Approach

Electricity Markets Portfolio Optimization Using a Particle ...

引用

International Workshop on Database and Expert Systems Applications

作者： Nuno Guedes Tiago Pinto Zita Vale Tiago M. Sousa Tiago Sousa GECAD-Knowledge Engineering and Decision Support Research Center Polytechnic of Porto Porto Portugal

ISBN: (纸本)9781479921393

Energy systems worldwide are complex and challenging environments. Multi-agent based simulation platforms are increasing at a high rate, as they show to be a good option to study many issues related to these systems, as well as the involved players at act in this domain. In this scope the authors' research group has developed a multi-agent system: MASCEM (Multi-Agent System for Competitive Electricity Markets), which simulates the electricity markets. MASCEM is integrated with ALBidS (Adaptive Learning Strategic Bidding System) that works as a decision support system for market players. The ALBidS system allows MASCEM market negotiating players to take the best possible advantages from the market context. However, it is still necessary to adequately optimize the player's portfolio investment. For this purpose, this paper proposes a market portfolio optimization method, based on particle swarm optimization, which provides the best investment profile for a market player, considering the different markets the player is acting on in each moment, and depending on different contexts of negotiation, such as the peak and off-peak periods of the day, and the type of day (business day, weekend, holiday, etc.). The proposed approach is tested and validated using real electricity markets data from the Iberian operator - OMIE.

关键词： Electricity supply industry Context Optimization Databases Portfolios Particle swarm optimization Multi-agent systems

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Reactive Power Management Strategies in Future Smart Grids

Reactive Power Management Strategies in Future Smart Grids

引用

IEEE Power and Energy Society General Meeting

作者： Hugo Morais Tiago Sousa Pedro Faria Zita Vale GECAD-Knowledge Engineering and Decision Support Research Center Polytechnic of Porto Porto Portugal

ISBN: (纸本)9781479913022

The reactive power management in distribution network with large penetration of distributed energy resources is an important task in future power systems. The control of reactive power allows the inclusion of more distributed recourses and a more efficient operation of distributed network. Currently, the reactive power is only controlled in large power plants and in high and very high voltage substations. In this paper, several reactive power control strategies considering a smart grids paradigm are proposed. In this context, the management of distributed energy resources and of the distribution network by an aggregator, namely Virtual Power Player (VPP), is proposed and implemented in a MAS simulation tool. The proposed methods have been computationally implemented and tested using a 32-bus distribution network with intensive use of distributed resources, mainly the distributed generation based on renewable resources. Results concerning the evaluation of the reactive power management algorithms are also presented and compared.

关键词： Energy resources management reactive power management smart grid virtual power player Smart grids Reactive power Power grids distributed energy resources efficient functioning HIGH POWER Energy sources

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Classifying heart sounds using multiresolution time series motifs: An exploratory study

Classifying heart sounds using multiresolution time series m...

引用

6th International C* Conference on Computer Science and Software engineering, C3S2E 2013

作者： Gomes, Elsa Ferreira Jorge, Alípio M. Azevedo, Paulo J. GECAD- Knowledge Engineering and Decision Support Research Center ISEP/IPP-School of Engineering Polytechnic of Porto Portugal LIAAD-INESC TEC DCC-FCUP Universidade Do Porto Portugal HASLab/INESC TEC Department of Informatics Portugal

ISBN: (纸本)9781450319768

The aim of this work is to describe an exploratory study on the use of a SAX-based Multiresolution Motif Discovery method for Heart Sound Classification. The idea of our work is to discover relevant frequent motifs in the audio signals and use the discovered motifs and their frequency as characterizing attributes. We also describe different configurations of motif discovery for defining attributes and compare the use of a decision tree based algorithm with random forests on this kind of data. Experiments were performed with a dataset obtained from a clinic trial in hospitals using the digital stethoscope DigiScope. This exploratory study suggests that motifs contain valuable information that can be further exploited for Heart Sound Classification. © 2013 ACM.

关键词： Time series analysis

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Scenarios Generation for Multi-Agent simulation of Electricity Markets based on Intelligent Data Analysis

Scenarios Generation for Multi-Agent simulation of Electrici...

引用

IEEE Symposium Series on Computational Intelligence

作者： Gabriel Santos Isabel Praca Tiago Pinto Sergio Ramos Zita Vale GECAD - Knowledge Engineering and Decision Support Research Center Institute of Engineering - Polytechnic of Porto (ISEP/IPP)

ISBN: (纸本)9781467358804

This document presents a tool able to automatically gather data provided by real energy markets and to generate scenarios, capture and improve market players' profiles and strategies by using knowledge discovery processes in databases supported by artificial intelligence techniques, data mining algorithms and machine learning methods. It provides the means for generating scenarios with different dimensions and characteristics, ensuring the representation of real and adapted markets, and their participating entities. The scenarios generator module enhances the MASCEM (Multi-Agent Simulator of Competitive Electricity Markets) simulator, endowing a more effective tool for decision support. The achievements from the implementation of the proposed module enables researchers and electricity markets' participating entities to analyze data, create real scenarios and make experiments with them. On the other hand, applying knowledge discovery techniques to real data also allows the improvement of MASCEM agents' profiles and strategies resulting in a better representation of real market players' behavior. This work aims to improve the comprehension of electricity markets and the interactions among the involved entities through adequate multi-agent simulation.

关键词： Electricity Markets knowledge Discovery in Databases Machine Learning Multi-Agent Simulators Real Electricity Markets Scenarios Generation

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