Titlebook: Linking and Mining Heterogeneous and Multi-view Data; Deepak P,Anna Jurek-Loughrey Book 2019 Springer Nature Switzerland AG 2019 Dimension

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deciduous

s, for how gastropod responses are subverted. Survival of digeneans in snails depends at least in part on their ability to mimic host glycotopes, to overcome the immediate attack of reactive oxygen and nitrogen species produced by host hemocytes, and to induce long-term down-regulation of immune fun

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Multi-View Data Completion,letion, but there is no comprehensive introduction and review of current approaches on multi-view data completion. We address this gap in this chapter through describing the multi-view data completion methods..In this chapter, we will mainly discuss existing methods to deal with . problem. We descri

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Semi-supervised and Unsupervised Approaches to Record Pairs Classification in Multi-Source Data Lin also proposed. However, those approaches relay on having a substantial set of manually labelled records, which makes them inapplicable in real-world scenarios. Given the importance of the problem, record linkage has witnessed a strong interest in the past decade. As a result, significant progress h

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A Review of Unsupervised and Semi-supervised Blocking Methods for Record Linkage, in terms of time and cost and assumes a domain expert to be available. Automatic supervised blocking techniques have been proposed; however, they require a set of labelled data in which the matching status of each record is known. In the majority of real-world scenarios, we do not have any informat

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Traffic Sensing and Assessing in Digital Transportation Systems,or transportation problems as well as the common assessing methodologies are overviewed. Graphics and real-life shots are occasionally used to clearly depict the reported concepts. Then, in direct relation to the recent literature on surveillance based on computer vision and image processing, the mo

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How Did the Discussion Go: Discourse Act Classification in Social Media Conversations,aset. We train our model on the same data, and present test results on two different datasets, one from Reddit and one from Facebook. Our proposed model outperformed the previous one in terms of domain independence; without using platform-dependent structural features, our hierarchical LSTM with wor

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Leveraging Heterogeneous Data for Fake News Detection,features, temporal and propagation patterns of the network, that use traditional and deep neural computations are the methods to identify fake news generation and spread. This chapter discusses the methods to leverage heterogeneous data to curb the fake news generation and propagation. We present an