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Active data warehouses have emerged as a new business intelligence paradigm where data in the integrated repository is refreshed in near real-time. This shift of practices achieves higher consistency between the stored information and the latest updates, which in turn influences crucially the output of decision making processes. In this paper we focus on the changes required in the implementation...
We consider the problem of rewriting XQuery queries using multiple materialized XQuery views. The XQuery dialect we use to express views and queries corresponds to tree patterns (returning data from several nodes, at different granularities, ranging from node identifiers to full XML subtrees) with value joins. We provide correct and complete algorithms for finding minimal rewritings, in which no view...
Adaptive join algorithms have recently attracted a lot of attention in emerging applications where data is provided by autonomous data sources through heterogeneous network environments. Their main advantage over traditional join techniques is that they can start producing join results as soon as the first input tuples are available, thus improving pipelining by smoothing join result production and...
Recent work has demonstrated that readings provided by commodity sensor nodes are often of poor quality. In order to provide a valuable sensory infrastructure for monitoring applications, we first need to devise techniques that can withstand "dirty" and unreliable data during query processing. In this paper we present a novel aggregation framework that detects suspicious measurements by...
In this paper we discuss a robust aggregation framework that can detect spurious measurements and refrain from incorporating them in the computed aggregate values. Our framework can consider different definitions of an outlier node, based on a specified minimum support. Our experimental evaluation demonstrates the benefits of our approach.
We propose a new approach to the problem of schema matching in relational databases that merges the hybrid and composite approach of combining multiple individual matching techniques. In particular, we propose assigning individual matchers to two categories, "strong" matchers that provide a priori higher quality matches, and "weak" matchers that may be more sensitive to the inputs...
We describe blogTrust, an innovative modular and extensible prototype application for monitoring changes in the interests of blogosphere participants. We also propose a new approach for the analysis of weblog contents that is supported by blogTrust and can yield new insights on the analysis of the blogosphere by monitoring the convergence or dispersion of blogosphere interests. The proposed process...
We develop a model of the interaction of rational peers in an incentive-free peer-to-peer (P2P) network and use game theoretic analysis to derive results about peer and network behavior. We calculate and discuss Nash equilibria and predict peer behavior in terms of individual contribution. At the heart of our model is altruism, an intrinsic parameter reflecting peers inherent willingness to contribute...
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