Titlebook: Data Mining in Large Sets of Complex Data; Robson L. F. Cordeiro,Christos Faloutsos,Caetano T Book 2013 The Author(s) 2013 Analysis of Bre

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Who Gets Them, When, and What Happens?mining tasks-the tasks of labeling and summarizing large sets of complex data. Given a large collection of complex objects, . of which have labels, how can we guess the labels of the remaining majority, and how can we spot those objects that may need brand new labels, different from the existing one

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https://doi.org/10.1007/978-1-4471-4890-6Analysis of Breast Cancer Data; Analysis of Large Graphs from Social Networks; Analysis of Satellite I

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SpringerBriefs in Computer Sciencehttp://image.papertrans.cn/d/image/262965.jpg

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XIII. , als Prinzip im Umweltv?lkerrechtThis chapter presents an overview of the book. It contains brief descriptions of the facts that motivated the work, besides the corresponding problem definition, main objectives and central contributions. The following sections detail each one of these topics.

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Data Mining in Large Sets of Complex Data978-1-4471-4890-6Series ISSN 2191-5768 Series E-ISSN 2191-5776

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Related Work and Concepts,ribed in Sect.?.. Section . introduces the . framework, a promising tool for large scale data analysis, which has been proven to offer one valuable support to the execution of data mining algorithms in a parallel processing environment. Section?. concludes the chapter.

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Respiratory Diseases — The Clinical Spectrum[., .]. . is a novel . method for multi-dimensional data, whose main strengths are that it is fast and scalable with regard to increasing numbers of objects and axes, besides increasing dimensionalities of the clusters. The following sections describe the new method in detail.