Titlebook: Databases Theory and Applications; 28th Australasian Da Zi Huang,Xiaokui Xiao,Xin Cao Conference proceedings 2017 Springer International Pu

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Andreas Albert,Ingo Bode,Sarina Parschick irrelevant and redundant features. The majority of feature selection methods, which have been developed in the last decades, can deal with only numerical or categorical features. An exception is the Recursive Feature Elimination under the clinical kernel function which is an embedded feature select

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Verena Breitbach,Hermann Brandenburge to its massive size and dynamic nature. The most crucial part of EEG data analysis is to discover hidden knowledge from a large volume of data through pattern mining for efficient analysis. This study focuses on discovering representative patterns from each channel data to recover useful informati

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263526.jpg

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978-3-319-68154-2Springer International Publishing AG 2017

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The Flexible Group Spatial Keyword Query nearest neighbor with keywords query, which finds the data object that optimizes the aggregate cost function for the whole group . of size . query objects, (ii) the subgroup nearest neighbor with keywords query, which finds the optimal subgroup of query objects and the data object that optimizes th