In this paper, we studythe properties of partial periodic pattern mining and extend the original problem to high-utility partial periodic pattern mining (HUPPP), which considers not only the occurring time order and p...
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Linear real-valued computations over distributed datasets are common in many applications, most notably as part of machine learning inference. In particular, linear computations which are quantized, i.e., where the co...
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As for ECG auto-diagnosis, Classification accuracy is a vital factor for providing diagnosis decision support in remote ECG diagnosis. The final accuracy depends on ECG preprocessing process, feature extraction, featu...
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Modern object-oriented programs are hierarchical systems with many thousands of interrelated subsystems. Visualization helps developers to better comprehend these large and complex systems. This paper presents a three...
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In this work, we present and establish a new primitive called Multi-level Controlled Signature. This primitive allows a signer to specify a security level to limit the verifiability of the signature. This primitive wo...
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Data poisoning attacks, where adversaries manipulate training data to degrade model performance, are an emerging threat as machine learning becomes widely deployed in sensitive applications. This paper provides a comp...
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As XML has become an emerging standard for information exchange on the World Wide Web, it has gained attention in database communities to extract information from XML sees as a database model. Recently, many researche...
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A MANET is a collection of wireless mobile stations with limited resources that can exchange information each other without any fixed infrastructure. It is a challenging task to design an efficient routing protocol fo...
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With so many career opportunities present in the computerscience field, it becomes pretty tedious for individuals to identify their strengths and goals. This study aims to form a relationship between the experiences ...
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Social networks have grown massively in the last few years and have become a lot more than mere message exchange platforms. Apart from serving purposes such as linking friends and family, job linking or news feeding, ...
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ISBN:
(纸本)9789897580741
Social networks have grown massively in the last few years and have become a lot more than mere message exchange platforms. Apart from serving purposes such as linking friends and family, job linking or news feeding, their nearly pervasive nature and presence in day-to-day activities make them the biggest potential market and access platform to hundreds of millions of customers ever built. Faced with such a complex and challenging environment, we claim that introducing innovation in an efficient way in such networks is of extreme importance. In this paper, we put forward a mechanism to select suitable entry points in the network to introduce the innovation, so fostering its acceptance and enhancing its diffusion. To do this, we use the underlying structure of the network as well as the influencing power some users exercise over others. We present results of testing our approach with both a Facebook dataset and different examples of random networks.
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