Titlebook: Knowledge Discovery from Multi-Sourced Data; Chen Ye,Hongzhi Wang,Guojun Dai Book 2022 The Author(s), under exclusive license to Springer

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Introduction,and crowdsourcing platforms, constantly generate data. Even for the same object, various data sources provide its information. Intuitively, analyzing these multi-source data yields valuable information. On the personal level, enterprises can recommend targeted products by analyzing the comments of t

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Denial-Constraint-Based Truth Discovery for Isomorphic Data,, such methods usually fail to achieve correct results, since they assume that all the sources are equally reliable. In most cases, the information quality usually varies a lot among diversified sources, due to the existence of different levels of errors such as recording errors, outdated data , and

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Book 2022ng, and natural language processing are synthetically used. This book mainly focuses on three data models: the multi-sourced isomorphic data, the multi-sourced heterogeneous data, and the text data. On the basis of three data models, this book studies the knowledge discovery problems including truth

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Pattern Discovery for Heterogeneous Data,timization problem [.]. To solve such a problem, we propose an algorithm called . that jointly and iteratively learns the variables. We give a motivate example in Sect. . and define the problem of pattern discovery in Sect. .. Section . describes the overall solution and the main component .. We conclude the chapter with final remarks in Sect. ..

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Fact Discovery for Text Data,t trustworthiness in addressing the pattern-based fact extraction problem [.]. We give a motive example and the problem definition in Sects. . and ., respectively. We detail the CNN-LSTM model design and present the experimental results in Sect. .. Next, we conclude in Sect. ..

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2191-5768 d fact discovery based on different data quality properties This book addresses several knowledge discovery problems on multi-sourced data where the theories, techniques, and methods in data cleaning, data mining, and natural language processing are synthetically used. This book mainly focuses on th

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