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International Workshop on database and Expert Systems Applications

作者： N. Kerdprasop K. Kerdprasop Data Engineering and Knowledge Discovery Research Unit School of Computer Engineering Suranaree University슠of Technology Thailand

Projective clustering is a clustering technique for high dimensional data with the inherent sparsity of the data points. To overcome the unreliable measure of similarity among data points in high dimensions, all data points are projected to a lower dimensional sub-space. Principal component analysis (PCA) is an efficient method to dimensionality reduction by projecting all points to a lower dimensional subspace so that the information loss is minimized. However, PCA does not handle well the situation that different clusters are formed in different subspaces. We propose a method of multiple principal component analysis for iteratively computing projective clusters. The objective function is designed to determine the subspace associated with each cluster. Some experiments have been carried out to show the effectiveness of the proposed method.

关键词： Principal component analysis Clustering algorithms data engineering Partitioning algorithms knowledge engineering Algorithm design and analysis Statistical analysis Clustering methods Conferences Spatial databases

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A multi-agent framework for a P2P data sharing facility

A multi-agent framework for a P2P data sharing facility

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International Conference on Advanced Information Networking and Applications (AINA)

作者： S.M. Deen Department of Computer Science Data and Knowledge Engineering (DAKE) Group University of Keele Staffordshire UK

The paper presents a general architecture for a P2P data sharing facility within a multi-agent framework, where peers as autonomous high-level nodal agents cooperate with each other to solve global tasks. A node may have several lower level local agents including local databases and partial global ontologies. In addition there are also minder agents coordinating the activities of the peers that offer the same type of service, thus providing fault-tolerance. The ability of this architecture in data and task sharing has been demonstrated by considering query processing and directory update strategies.

关键词： Peer to peer computing Fault tolerance Query processing Spread spectrum communication Transaction databases knowledge engineering Computer science Computer architecture Ontologies Internet

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Density-biased clustering based on reservoir sampling

Density-biased clustering based on reservoir sampling

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International Workshop on database and Expert Systems Applications

作者： K. Kerdprasop N. Kerdprasop P. Sattayatham Data Engineering and Knowledge Discovery (DEKD) Research Unit School of Computer Engineering Suranaree University슠of Technology Thailand

Clustering is a task of grouping data based on similarity. A popular k-means algorithm groups data by firstly assigning all data points to the closest clusters, then determining the cluster means. The algorithm repeats these two steps until it has converged. We propose a variation called weighted k-means to improve the clustering scalability. To speed up the clustering process, we develop the reservoir-biased sampling as an efficient data reduction technique since it performs a single scan over a data set. Our algorithm has been designed to group data of mixture models. We present an experimental evaluation of the proposed method.

关键词： Reservoirs Sampling methods Clustering algorithms Iterative algorithms Partitioning algorithms data engineering databases knowledge engineering Councils Scalability

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Prediction of Wastewater Pre-Precipitation Variables Using Self-Organizing Networks

Prediction of Wastewater Pre-Precipitation Variables Using S...

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IEEE International Symposium on Intelligent Control (ISIC)

作者： P. Isaias S. Nilsson A. Stathaki R.E. King Data and Knowledge Engineering Group Computer Research Institute Athens Athens Greece Environmental Research Institute IVL Stockholm Sweden Electrical Engineering and Computer Science University of Patras Greece

This paper describes the derivation and design of an array of self-organizing networks trained by inductive learning for one step ahead prediction of the outputs of the pre-precipitation stage of a wastewater treatmen... 详细信息

关键词： Self-organizing networks Wastewater treatment Mathematical model Neural networks Effluents Predictive models Predictive control Machine learning Chemicals Instruments

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SemCrypt - Ensuring Privacy of Electronic Documents Through Semantic-Based Encrypted Query Processing

SemCrypt - Ensuring Privacy of Electronic Documents Through ...

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International Conference on data engineering Workshops

作者： M. Schrefl K. Grun J. Dorn Department of Business Informatics-Data & Knowledge Engineering Johannes Kepler University Linz Linz Austria EC3-Electronic Commerce Competence Center Vienna Austria

The trend towards outsourcing increases the number of documents stored at external service providers. This storage model, however, raises privacy and security concerns because the service providers cannot be trusted with respect to maintaining the privacy of the documents. The research project SemCrypt^1 explores techniques for processing queries and updates over encrypted XML documents stored at untrusted servers. By performing encryption and decryption only on the client and not on the server, SemCrypt guarantees that neither the document structure nor the document content are disclosed on the server. Filtering query results and processing as much as possible of the query/update statement on the server does not depend on special encryption techniques. Instead, the chosen approach exploits the structural semantics of XML documents and uses standard, well-proven encryption techniques. SemCrypt thus enables to query and update encrypted XML documents on untrusted servers while ensuring data privacy.

关键词： Cryptography Query processing XML data privacy Semantic Web Outsourcing Secure storage Web server Web and internet services Relational databases

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A testbed for evaluating human interaction with ubiquitous computing environments

A testbed for evaluating human interaction with ubiquitous c...

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International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TRIDENTCOM)

作者： E. O'Neill M. Klepal D. Lewis T. O'Donnell D. O'Sullivan D. Pesch Dept. of Comput. Sci. Trinity Coll. Dublin Ireland Centre for Adaptive Wireless System Cork Institute of Technology Ireland Knowledge and Data Engineering Group Trinity College Dublin Ireland

Core to ubiquitous computing environments are adaptive software systems that adapt their behavior to the context in which the user is attempting the task the system aims to support. This context is strongly linked with the physical environment in which the task is being performed. The efficacy of such adaptive systems is thus highly dependent on the human perception of the provided system behavior within the context represented by that particular physical environment and social situation. However, effective evaluation of human interaction with adaptive ubiquitous computing technologies has been hindered by the cost and logistics of accurately controlling such environmental context. This paper describes TATUS, a ubiquitous computing simulator aimed at overcoming these cost and logistical issues. Based on a 3D games engine, the simulator has been designed to maximize usability and flexibility in the experimentation of adaptive ubiquitous computing systems. We also describe how this simulator is interfaced with a testbed for wireless communication domain simulation.

关键词： Testing Humans Ubiquitous computing Computational modeling Adaptive systems Costs Software systems Programmable control Adaptive control Logistics

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Evaluation of APeLS - An adaptive elearning service based on the multi-model, metadata-driven approach

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3rd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2004

作者： Conlan, Owen Wade, Vincent P. Knowledge and Data Engineering Group Trinity College Dublin Ireland

ISBN: (纸本)3540228950

The evaluation of learner and tutor feedback is essential in the production of high quality personalized eLearning services. There are few evaluations available in the Adaptive Hypermedia domain relative to the amount of research interest this domain is attracting. Many of the papers in this domain focus on the technological design of systems without justifying the designs through the lessons learned from evaluations. This paper evaluates the usability and effectiveness of using the multi-model, metadata-driven approach for producing rich adaptive eLearning solutions that remain content and domain independent. Through this independence, the eLearning services developed can utilize many pedagogical approaches and a variety of models to produce a wide range of highly flexible solutions. This paper identifies benefits to learners brought through adopting the multi-model approach gathered over four years of student evaluation. It briefly describes the evaluation of the Adaptive Personalized eLearning Service (APeLS), a personalized eLearning service based on a generic adaptive engine. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Quality control

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Developing active learning experiences for adaptive personalised elearning

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3rd International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH 2004

作者： Dagger, Declan Wade, Vincent P. Conlan, Owen Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin Ireland

ISBN: (纸本)3540228950

Developing adaptive, rich-media, eLearning courses tends to be a complex, highly-expensive and time-consuming task. A typical adaptive eLearning course will involve a multi-skilled development team of technologists, instructional developers, subject matter experts and integrators. Even where the adaptive course attempts to reuse existing digital resources, considerable effort is still required in the integration of the adaptive techniques and curriculum. This paper tackles the fundamental challenges of extending adaptivity across not only content (based on prior knowledge, goals, learning styles, connectivity etc.) but also across adaptive pedagogic approaches, communication tools and a range of e-activity types which are required for effective, deeper learning. This paper identifies key activities and requirements for adaptive course construction and presents the design of a tool to allow the rapid construction of such courses. The paper outlines the usage of this tool in the form of a case study and presents its research findings. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Teaching

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Modeling of discrete event systems: A holistic and incremental approach using Petri nets

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ACM Transactions on Modeling and Computer Simulation 2004年第4期14卷 389-423页

作者： Bobeanu, Carmen-Veronica Kerckhoffs, Eugene J. H. Van Landeghem, Hendrik Ghent University Delft University of Technology Ghent University Department Industrial Management Technologiepark 903 B-9052 Ghent Belgium Delft University of Technology Mediamatica Department Data and Knowledge Engineering Group Mekelweg 4 2628 CD Delft Netherlands

In this article, the authors provide an alternative view on Petri nets modeling of discrete event systems. The proposed modeling procedure follows the Systems Specification guidelines underlying the well-known DEVS modeling formalism. The authors' endeavour is towards perfecting the design of reusable Petri nets-based models by searching for a good primitive for a modular model construction and the introduction of coupling templates as standardised means to couple building block components. Assuming that the real-world system to be modeled has been analyzed in depth beforehand through a suitable system analysis method (which itself is beyond the scope of the article), we present a systematic step-by-step approach to construct a model in the Petri nets domain together with its experimental frame. The construction adheres to well-defined rules, which enable computer-based model construction. The input for this systematic bottom-up construction of Petri nets-models is information (about, e.g., primitive system components, entity flows, routing constructs) gathered from the top-down system analysis. In the article, attention is also paid to the algebraic backgrounds underlying the proposed model construction. These provide the basis for formal correctness proofs, mapping Petri nets onto DEVS-models, and complexity reduction of the found Petri nets-models. By offering to the model builder the possibility to handle multiple abstraction levels and by addressing important issues related to the interfacing question of coupled models and model components described in Petri nets and DEVS formalism, the authors' work addresses two of the main research directions of Computer Automated Multi-Paradigm Modeling ([Mosterman and Vangheluwe 2002]): model abstraction and multiformalism modeling. The article concludes with an illustrative application example.

关键词： Petri nets

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Managing user-centric adaptive services for pervasive computing

Managing user-centric adaptive services for pervasive comput...

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International Conference on Autonomic Computing (ICAC)

作者： D. Lewis T. O'Donnell K. Feeney A. Brady V. Wade Computer Science Department Knowledge and Data Engineering Group Dublin Ireland Knowledge and Data Engineering Group Computer Science Department Trinity College Dublin Ireland

Pervasive computing environments need to exhibit highly adaptive behavior to meet the changing task requirements and operational context of visiting mobile users. However this must be balanced with the need of resource owners to meet their goals in administering how users use their resources. This presents challenges of how to manage adaptive systems and how such management should be exercised by people, both average pervasive computing users and administrators of pervasive computing resources. This paper presents some of the issues involved in reconciling dynamic user-centric adaptation with the management of autonomic systems to meet high-level management policies. It discusses our architectural approach and presents some initial research results in addressing these issues.

关键词： Pervasive computing Resource management Programmable control Adaptive control Personal digital assistants data engineering Computer science Educational institutions Mobile computing Adaptive systems

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