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WPES'04: Proceedings of the 2004 ACM Workshop on Privacy in the Electronic Society

作者： Pontikakis, Emmanuel D. Tsitsonis, Achilleas A. Verykios, Vassilios S. Theodoridis, Yannis Chang, Liwu Dept. of Computer Engineering and Informatics University of Patras Research and Academic Computer Technology Institute Athens Greece Dept. of Computer and Comm. Engineering University of Thessaly Research and Academic Computer Technology Institute Athens Greece Dept. of Informatics University of Piraeus Piraeus Research and Academic Computer Technology Institute Athens Greece Naval Research Laboratory Washington DC United States

ISBN: (纸本)1581139683

Data mining provides the opportunity to extract useful information from large databases. Various techniques have been proposed in this context in order to extract this information in the most efficient way. However, efficiency is not our only concern in this study. The security and privacy issues over the extracted knowledge must be seriously considered as well. By taking this into consideration, we study the procedure of hiding sensitive association rules in binary data sets by blocking some data values and we present an algorithm for solving this problem. We also provide a fuzzification of the support and the confidence of an association rule in order to accommodate for the existence of blocked/unknown values. In addition, we quantitatively compare the proposed algorithm with other already published algorithms by running experiments on binary data sets, and we also qualitatively compare the efficiency of the proposed algorithm in hiding association rules. We utilize the notion of border rules, by putting weights in each rule, and we use effective data structures for the representation of the rules so as (a) to minimize the side effects created by the hiding process and (b) to speed up the selection of the victim transactions. Finally, we discuss the advantages and the limitations of blocking. Copyright 2004 ACM.

关键词： Data mining

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Handling subtle sense distinctions through wordnet semantic types 4

Handling subtle sense distinctions through wordnet semantic ...

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4th International Conference on Language Resources and Evaluation, LREC 2004

作者： Stamou, Sofia Christodoulakis, Dimitris Computer Engineering and Informatics Department Patras University Patras26500 Greece Research Academic Computer Technology Institute 61 Riga Feraiou Patras26221 Greece

ISBN: (纸本)2951740816

In this paper we challenge the question of whether there is value in having multiple layers of semantic information associated with corpus semantic annotation. In this context we introduce a semantic annotation experiment in which novice annotators were asked to assign sense tags to a set of polysemous corpus nouns, using Wordnet as their referential sense repository. Wordnet is a rich sense inventory that provides explicit information of the semantic types associated with every word sense. To measure the effect semantic types' knowledge has on the sense assignment process, we carried out two annotation sessions. In the first session, annotators relied exclusively on Wordnet synsets to annotate corpus nouns, whereas in the second session the same pool of annotators examined Wordnet synsets in conjunction with their semantic types, prior assigning a sense tag. Comparing annotators' performance in both sessions shows that when consulting semantic types, annotators assigned more salient senses to highly polysemous nouns, whereas for the same set of terms, when relying exclusively on Wordnet synsets, annotators tended to assign narrower senses, which whatsoever were more error-prone. Results indicate that semantic types have a potential in dealing with subtle sense distinctions in the course of corpus annotation.

关键词： Semantics

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Exploring balkanet shared ontology for multilingual conceptual indexing 4

Exploring balkanet shared ontology for multilingual conceptu...

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4th International Conference on Language Resources and Evaluation, LREC 2004

作者： Stamou, Sofia Nenadic, Goran Christodoulakis, Dimitris Computer Engineering and Informatics Department Patras University Patras26500 Greece Research Academic Computer Technology Institute 61 Riga Feraiou Patras26221 Greece Department of Computation UMIST Manchester United Kingdom

ISBN: (纸本)2951740816

As the size of the Web grows, it becomes an imperative to equip search engines with sophisticated indexing modules in order to enable a meaningful organization of the stored data. In this paper we present a structured multilingual conceptual repository that has been employed as the backbone of a conceptual indexing and retrieval system. Our conceptual warehouse originates from a multilingual semantic network (Balkanet) and its Inter-Lingual-Index, which was enriched with domain ontology information inherited from the SUMO ontology. We report on the ontology's design principles and provide a description of its structure. We argue that an important attribute of the Balkanet's ILI is its flexibility in incorporating new concepts and/or languages by allowing the percolation of shared semantic attributes to all concepts represented within taxonomies. We further present our approach to conceptual indexing, and introduce an indexing algorithm that utilizes Balkanet's classified conceptual taxonomies. Finally, we discuss how conceptual taxonomies can help retrieval algorithms in making links between terms used in search requests and semantically related terms that might be found in the indexed documents.

关键词： Taxonomies

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FESMI: A fuzzy expert system for diagnosis and treatment of male impotence

FESMI: A fuzzy expert system for diagnosis and treatment of ...

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8th International Conference on Knowledge-Based Intelligent Information and engineering Systems, KES 2004

作者： Koutsojannis, Constantinos Hatzilygeroudis, Ioannis Department of Computer Engineering and Informatics School of Engineering Rion Patras265 00 Greece Research Academic Computer Technology Institute P.O. Box 1122 Patras Greece

ISBN: (纸本)9783540232063

In this paper, we present the design, implementation and evaluation of FESMI, a fuzzy expert system that deals with diagnosis and treatment of male impotence. The diagnosis process, linguistic variables and their values were modeled based on expert’s knowledge the statistical analysis of the records of 70 patients from a hospital database and existing literature. The expert system has been implemented in FuzzyCLIPS. The fuzzy rules are organized in groups to be able to simulate the diagnosis process. Experimental results showed that FESMI did quite better than non-expert urologists and about 79% as well as the expert did. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Diagnosis

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An agent-based intelligent environmental monitoring system

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Management of Environmental Quality: An International Journal 2004年第3期15卷 238-249页

作者： Athanasiadis, Ioannis N. Mitkas, Pericles A. Informatics and Telematics Institute Centre for Research and Technology Hellas Thessaloniki Greece Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece

Fairly rapid environmental changes call for continuous surveillance and on-line decision making. There are two main areas where IT technologies can be valuable. In this paper we present a multi-agent system for monitoring and assessing air-quality attributes, which uses data coming from a meteorological station. A community of software agents is assigned to monitor and validate measurements coming from several sensors, to assess air-quality, and, finally, to fire alarms to appropriate recipients, when needed. Data mining techniques have been used for adding data-driven, customized intelligence into agents. The architecture of the developed system, its domain ontology, and typical agent interactions are presented. Finally, the deployment of a real-world test case is demonstrated. © Emerald Group Publishing Limited.

关键词： Air Data handling Environmental testing Intelligent agents

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Using VR technology to support e-learning: the 3D virtual radiopharmacy laboratory

Using VR technology to support e-learning: the 3D virtual ra...

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International Conference on Distributed Computing Systems Workshop

作者： A. Alexiou C. Bouras E. Giannaka V. Kapoulas M. Nani T. Tsiatsos Computer Engineering and Informatics Department University of Patras Greece Research Academic Computer Technology Institute Greece

We present a virtual laboratory, which is designed and implemented in the framework of the VirRAD European project. This laboratory represents a 3D simulation of a radio-pharmacy laboratory, where learners, represented by 3D avatars, can experiment on radio-pharmacy equipment by carrying out specific learning scenarios. We describe the functionality provided by this laboratory, the motivation factors which led to its formation, the technological decisions that were made for the optimization of the system as well as the envisioned steps to be carried out.

关键词： Virtual reality Electronic learning Laboratories Virtual environment Avatars Collaborative work Educational technology Collaboration computer aided instruction Internet

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Full-Coverage Web Prediction based on Web Usage Mining and Site Topology 04

Full-Coverage Web Prediction based on Web Usage Mining and S...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： D. Oikonomopoulou M. Rigou S. Sirmakessis A. Tsakalidis Computer Engineering and Informatics Department University of Patras Greece Research Academic Computer Technology Institute Patras Greece

ISBN: (纸本)9780769521008

Understanding and modeling user online behavior, as well as predicting future requests remain an open challenge for researchers, analysts and marketers. In this paper, we propose an efficient prediction schema based on the extraction of sequential navigation patterns from server log files, combined with web site topology. Traversed paths are monitored, internally recorded and cleaned before being completed with cashed page views. After session and episode identification follows the construction of n-grams. Prediction is based upon a 5 + n-gram schema with all lower level n-grams participating, a procedure that resembles the construction of an All 5th-order Markov Model. The schema achieves full coverage while maintaining competitive prediction precision.

关键词： Topology Predictive models Data mining Navigation Association rules Prefetching Accuracy informatics File servers Monitoring

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Web page fragmentation for personalized portal construction

Web page fragmentation for personalized portal construction

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International Conference on Information technology: Coding and Computing (ITCC)

作者： B. Christos K. Vaggelis M. Ioannis Computer Engineering and Informatics Department University of Patras Greece Research Academic Computer Technology Institute Patras Greece

Web portals offer many services and wealth of content to Web users. However, most users do not find interest in all the content present in these sites. Most of them visit some specific sites and browse in specific thematic areas of them. In this paper, a software technique is presented that allows the viewers of Web sites to build their own personalized portals, using specific thematic areas of their preferred sites. This transcoding technique is based on an algorithm, which fragments a Web page in discrete fragments using the page's internal structure. A training and update procedure is used for identifying the different instances of thematic areas in different time points.

关键词： Web pages Portals HTML Algorithm design and analysis Transcoding Buildings informatics Software tools Web server Optical wavelength conversion

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Efficient algorithms for handling Molecular Weighted Sequences

Efficient algorithms for handling Molecular Weighted Sequenc...

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IFIP 18th World computer Congress, TC1 and 3rd International Conference on Theoretical computer Science, TCS 2004

作者： Iliopoulos, Costas S. Makris, Christos Panagis, Yannis Perdikuri, Katerina Theodoridis, Evangelos Tsakalidis, Athanasios Department of Computer Science King's College London Strand London WC2R2LS United Kingdom Department of Computer Engineering and Informatics University of Patras 26500 Patras Greece Research Academic Computer Technology Institute 61 Riga Feraiou Str. 26221 Patras Greece

ISBN: (纸本)1402081405

In this paper we introduce the Weighted Suffix Tree, an efficient data structure for computing string regularities in weighted sequences of molecular data. Molecular Weighted Sequences can model important biological processes such as the DNA Assembly Process or the DNA-Protein Binding Process. Thus pattern matching or identification of repeated patterns, in biological weighted sequences is a very important procedure in the translation of gene expression and regulation. We present time and space efficient algorithms for constructing the weighted suffix tree and some applications of the proposed data structure to problems taken from the Molecular Biology area such as pattern matching, repeats discovery, discovery of the longest common subsequence of two weighted sequences and computation of covers. © 2004 Springer Science + Business Media, Inc.

关键词： Pattern matching

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Scan cell ordering for low power BIST

Scan cell ordering for low power BIST

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IEEE computer Society Annual Symposium on VLSI

作者： M. Bellos D. Bakalis D. Nikolos Computer Engineering & Informatics Department University of Patras Patras Greece Research Academic Computer Technology Institute Patras Greece

Power dissipation during scan-based testing has gained significant importance in the past few years. In this work we examine the use of transition frequency based on scan cell ordering techniques in pseudorandom scan based BIST in order to reduce average power dissipation. We also propose the resetting of the input register of the circuit together with ordering of its elements to further reduce average power dissipation. Experimental results indicate that the proposed techniques can reduce average power dissipation up to 57.7%.

关键词： Built-in self-test Very large scale integration computer Society

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