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Titlebook: Machine Learning and Knowledge Extraction; Second IFIP TC 5, TC Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2018

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發(fā)表于 2025-3-21 19:35:43 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning and Knowledge Extraction
副標(biāo)題Second IFIP TC 5, TC
編輯Andreas Holzinger,Peter Kieseberg,Edgar Weippl
視頻videohttp://file.papertrans.cn/621/620559/620559.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Machine Learning and Knowledge Extraction; Second IFIP TC 5, TC Andreas Holzinger,Peter Kieseberg,Edgar Weippl Conference proceedings 2018
描述.This book constitutes the refereed proceedings of the IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference for Machine Learning and Knowledge Extraction, CD-MAKE 2018, held in Hamburg, Germany, in September 2018..The 25 revised full papers presented were carefully reviewed and selected from 45 submissions. The papers are clustered under the following topical sections: MAKE-Main Track, MAKE-Text, MAKE-Smart Factory, MAKE-Topology, and MAKE Explainable AI.?.
出版日期Conference proceedings 2018
關(guān)鍵詞Anonymization; Artificial intelligence; Automatic User Interface Generation; Classification; Computation
版次1
doihttps://doi.org/10.1007/978-3-319-99740-7
isbn_softcover978-3-319-99739-1
isbn_ebook978-3-319-99740-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightIFIP International Federation for Information Processing 2018
The information of publication is updating

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978-3-319-99739-1IFIP International Federation for Information Processing 2018
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地板
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A Modified Particle Swarm Optimization Algorithm for Community Detection in Complex Networks into the local optimum, a mutation operation is performed. Experiments on synthetic and real-world networks confirm a significant improvement in terms of convergence speed with higher modularity in comparison with recent similar approaches.
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發(fā)表于 2025-3-22 21:39:21 | 只看該作者
Mouse Tracking Measures and Movement Patterns with Application for Online Surveysced a wide range of different patterns, including new patterns, and showed that these can easily be distinguished. The identified patterns may - in conjunction with machine learning algorithms - be used for further investigation toward e.g. the recognition of the user’s state of mind or for user studies.
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Spanish Twitter Data Used as a Source of Information About Consumer Food Choicelink this data to dietary choices expressed in different moments of their daily life. We found out that including Spanish Twitter data analysis, like the one presented in this work, into marketing researchers tools, could be very useful to advance in customer-centric strategies.
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0302-9743 nd selected from 45 submissions. The papers are clustered under the following topical sections: MAKE-Main Track, MAKE-Text, MAKE-Smart Factory, MAKE-Topology, and MAKE Explainable AI.?.978-3-319-99739-1978-3-319-99740-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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