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2011 IEEE International Conference on Information Reuse & Integration

3-5 Aug. 2011

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  • [Front cover]

    Publication Year: 2011, Page(s): c1
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  • [Back cover]

    Publication Year: 2011, Page(s): c4
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  • Table of contents

    Publication Year: 2011, Page(s):i - xii
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  • Forward

    Publication Year: 2011, Page(s): xiii
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  • Message from program co-chairs

    Publication Year: 2011, Page(s):xiv - xv
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  • Conference organizers

    Publication Year: 2011, Page(s):xvi - xvii
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  • International Technical Program Committee

    Publication Year: 2011, Page(s):xviii - xxi
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  • The concept of a Z-number - A new direction in uncertain computation

    Publication Year: 2011, Page(s):xxii - xxiii
    Cited by:  Patents (5)
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  • Protecting information systems from insider threats - concepts and issues

    Publication Year: 2011, Page(s):xxiv - xxv
    Cited by:  Papers (1)
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  • Panel: Converting innovation to commercialization: Information re-use from the research sector to the public sector

    Publication Year: 2011, Page(s):xxvi - xxvii
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  • Message from program co-chairs, WICSOC 2011

    Publication Year: 2011, Page(s): xxviii
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  • Program Committee

    Publication Year: 2011, Page(s): xxix
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  • Securing and utilizing social dynamics

    Publication Year: 2011, Page(s): xxx
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  • Author index

    Publication Year: 2011, Page(s):561 - 564
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  • [Copyright notice]

    Publication Year: 2011, Page(s): 1
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  • On the use of Hamming distance tuning for the generalized adaptive neural network fuzzy inference controller with evolutionary simulated annealing

    Publication Year: 2011, Page(s):1 - 6
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (202 KB) | HTML iconHTML

    The design of robust controllers to handle noise and system variation is a challenging problem and research in this area continues; one approach which has gained success is to employ a neural network to learn about the unknown plant and fuzzy inference to compensate for the uncertainty (GANFIS control). As with most controllers, the design of GANFIS controllers requires proper parameter selection ... View full abstract»

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  • Composite event processing in an active rule-based fuzzy XML database system

    Publication Year: 2011, Page(s):7 - 10
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (78 KB) | HTML iconHTML

    In an active rule-based system, users define reactions to events by specifying active rules. The system executes rules upon occurrences of events automatically. Events can be primitive that is raised by a single database operation, such as insert, delete, and replace. Users can also define composite events that are grouped by multiple primitive events. The composition of those events can trigger o... View full abstract»

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  • A new equation for calculating the weight of fuzzy itemsets

    Publication Year: 2011, Page(s):1 - 4
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (165 KB) | HTML iconHTML

    This paper proposes a new equation for calculating the weight of fuzzy itemsets candidates. This equation was applied in the NARFO* algorithm [1], which is an approach for mining generalized association rules based on fuzzy ontologies. Another contribution of this work is to perform comparative tests between NARFO* and GARPA algorithm [2]. Experiments showed that NARFO* produces an amount of rules... View full abstract»

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  • Selection of features for surname classification

    Publication Year: 2011, Page(s):15 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (688 KB) | HTML iconHTML

    We have studied the problem of classifying of surnames into the countries of origin using a collection of feature based learning algorithms. We have compiled a database of surnames and their countries of origin from publicly available databases as training data for the classifiers. We propose a feature selection algorithm which dynamically decides the most prominent feature of the names based on t... View full abstract»

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  • Study of definable subsets in covering approximation spaces of rough sets

    Publication Year: 2011, Page(s):21 - 24
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (94 KB) | HTML iconHTML

    Intelligent decision systems often need to deal with vague and uncertain data. Several approaches are commonly used to address this problem, such as statistical methods, machine learning, and fuzzy set. Overlapping with but different from the fuzzy set theory, rough set theory is a relatively new mathematical approach to vague data analysis. A rough set is basically an approximation representation... View full abstract»

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  • Heuristic approaches for optimizing the performance of rule-based classifiers

    Publication Year: 2011, Page(s):25 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (134 KB) | HTML iconHTML

    Rule-based classifiers are supervised learning techniques that are extensively used in various domains. This type of classifiers is popular because of its nature which makes it modular and easy to interpret and also because of its ability to provide the classification label as well as the reason behind it. Rule-based classifiers suffer from a degradation of their accuracy when they are used on new... View full abstract»

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  • Structural-model approach of causal reasoning in problem solving processes

    Publication Year: 2011, Page(s):32 - 35
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (110 KB) | HTML iconHTML

    Taking into account the experience feedback on complex problems solving in industrial organizations is a way to improve the quality of products and processes. However, few academic works deal with representation and instrumentation of experience feedback systems. We propose in this paper a model of experiences and mechanisms to use these experiences. More specifically, we wish to promote the reuse... View full abstract»

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  • Web service discovery using semi-supervised Block Value Decomposition

    Publication Year: 2011, Page(s):36 - 41
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (164 KB) | HTML iconHTML

    Service communities help improve the service discovery process by targeting user queries at highly relevant sub-spaces. In this paper, we propose a semi-supervised web service community learning approach using Block Value Decomposition Co-clustering (SS-BVD). Our approach incorporates domain knowledge in the form of must-link and cannot-link constraints and leverages the duality between web servic... View full abstract»

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  • A provenance-aware service repository for EAI process modeling tools

    Publication Year: 2011, Page(s):42 - 47
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (341 KB) | HTML iconHTML

    One of the major challenges for Enterprise Application Integration (EAI) process modeling tools is the continuous adaptation of the business processes and services. Business and IT specialists are both confronted with a number of problems involved in the adaptation of such processes, such as the lack of support for process lifecycle management, data and functional interoperability problems or the ... View full abstract»

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  • CommunityMashup a flexible social mashup based on a model-driven-approach

    Publication Year: 2011, Page(s):48 - 51
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (85 KB) | HTML iconHTML

    Induced by the Web 2.0 idea today's IT systems are continuously moving from an information-centric data perspective to a more person-centric model. Easy access to federated activity streams and other awareness information become more and more important. The increasing number of platforms that are used leads to the demand of a flexible integration solution. The CommunityMashup represents a person-c... View full abstract»

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