The classical algorithm of finding association rules generated by a frequent itemset has to generate all nonempty subsets of the frequent itemset as candidate set of consequents. Xiongfei Li aimed at this and proposed...
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The classical algorithm of finding association rules generated by a frequent itemset has to generate all nonempty subsets of the frequent itemset as candidate set of consequents. Xiongfei Li aimed at this and proposed an improved algorithm. The algorithm finds all consequents layer by layer, so it is breadth-first. In this paper, we propose a new algorithm Generate Rules by using Set-Enumeration Tree (GRSET) which uses the structure of Set-Enumeration Tree and depth-first method to find all consequents of the association rules one by one and get all association rules correspond to the *** show GRSET algorithm to be practicable and efficient.
Recently, several research projects such as PADLR and SWAP have developed tools like Edutella or Bibster, which have been targeted at establishing peer-to-peer knowledge management (P2PKM) systems. In such a system, i...
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Recently, several research projects such as PADLR and SWAP have developed tools like Edutella or Bibster, which have been targeted at establishing peer-to-peer knowledge management (P2PKM) systems. In such a system, it is necessary for participants to provide brief descriptions of themselves, so that routing algorithms or matchmaking processes can make decisions about which communities peers should belong to, or to which peer a given query should be forwarded. In this talk, I propose the use of graph clustering techniques on knowledge bases for that purpose. After a brief round-trip over an ontology-based P2P knowledge management scenario, I will demonstrate the automatic generation of self-descriptions of peers' knowledge bases through the use of graph clustering. Viewing the knowledge base of a peer as a graph consisting of concepts and instances, one can employ clustering techniques to partition it into clusters of similar entities. From each cluster, the centroid can then be selected as a representative. This yields a list of entities giving an aggregated self description of the peer.
The effort to personalise eLearning has led to the development of sophisticated Adaptive Hypermedia (AH) systems that can adapt to many aspects of the learner's characteristics or explicit preferences. However, wh...
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ISBN:
(纸本)9781627483308
The effort to personalise eLearning has led to the development of sophisticated Adaptive Hypermedia (AH) systems that can adapt to many aspects of the learner's characteristics or explicit preferences. However, while many of these adaptations are grounded in sound pedagogical theories, it is unclear how effective such adaptations are in supporting everyday teaching and learning processes that take place in the classroom today. This paper presents a study that explores what teachers in the UK, who have been named by their colleagues as implementing best-practice in the classroom, expect from an eLearning platform that can adapt to the individual needs of their students. The result of the study shows that there are currently some discrepancies between the teachers' expectations and what adaptive hypermedia currently offers. The paper then concludes by describing how these discrepancies can be addressed in future AH systems.
This paper proposes a novel approach in integrating seemingly contradictory approaches of teaching and learning via collaborative and personalised learning activities by using augmented reality museum exhibits. The pa...
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ISBN:
(纸本)9781627483308
This paper proposes a novel approach in integrating seemingly contradictory approaches of teaching and learning via collaborative and personalised learning activities by using augmented reality museum exhibits. The paper highlights the benefits that computer supported collaborative learning and computer supported personalised learning bring or promise to bring to the learner. A proposal is given for a study that will setup a common ground for these two approaches via a location-aware augmented reality museum display. The principal aim of the study is to investigate how the process of learning collaboratively is intertwined with personalised experience of visiting the museum display. Ultimately, the result of the study will provide a new understanding of visitor's experience of museum displays, not only within the context of the museum's location, but also within the classroom where the visit truly begins and finishes.
Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improvin...
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Semantic Web Mining aims at combining the two fast-developing research areas Semantic Web and Web Mining. This survey analyzes the convergence of trends from both areas: Growing numbers of researchers work on improving the results of Web Mining by exploiting semantic structures in the Web, and they use Web Mining techniques for building the Semantic Web. Last but not least, these techniques can be used for mining the Semantic Web itself. The second aim of this paper is to use these concepts to circumscribe what Web space is, what it represents and how it can be represented and analyzed. This is used to sketch the role that Semantic Web Mining and the software agents and human agents involved in it can play in the evolution of Web space.
Autonomic systems are needed to self-manage the increasing complexity of pervasive communications access and the ubiquitous computing services it offers to humans. Policy based governance is the means by which humans ...
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Autonomic systems are needed to self-manage the increasing complexity of pervasive communications access and the ubiquitous computing services it offers to humans. Policy based governance is the means by which humans will impose their will upon how autonomic systems manage themselves. Ultimately, these systems mediate information and services between people, in a rich tapestry of human associations formed though personal, commercial, and civic relationships. Therefore, if policies are to accurately reflect the wishes of their human authors, the process of authoring or engineering them must closely reflect the intricacies and fluidity of human relationships. We see this as the route to providing intuitive use of policy systems and thus to autonomic systems in empowering their users. We have previously presented a scheme for community-based management that addressed the dynamic organizational aspects of human relations in policy authoring. In this paper we review developments with this approach and describe its integration with a trust management system designed to flexibly regulate access to resources according to the trust relationships between participants. This approach promises to enable autonomic organisations, with structures that automatically adapt to the collective needs of the users.
The paper proposes an intuitive configuration tool for autonomic pervasive computing systems. Specifically, the paper presents a system for the inference of user task intentions from a variety of sensed information an...
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The paper proposes an intuitive configuration tool for autonomic pervasive computing systems. Specifically, the paper presents a system for the inference of user task intentions from a variety of sensed information and describes how this can be readily configured by users to meet their needs for performing particular activities in particular spaces. The approach taken combines the capture of user task concepts and policies with their integration into a 3D virtual reality model of the environment being used so that these concepts and policies can be mapped intuitively, but accurately, onto the sensed physical environment.
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...
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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 w...
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