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

Defect

書目名稱Machine Learning and Knowledge Extraction影響因子(影響力)




書目名稱Machine Learning and Knowledge Extraction影響因子(影響力)學(xué)科排名




書目名稱Machine Learning and Knowledge Extraction網(wǎng)絡(luò)公開(kāi)度




書目名稱Machine Learning and Knowledge Extraction網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Machine Learning and Knowledge Extraction被引頻次




書目名稱Machine Learning and Knowledge Extraction被引頻次學(xué)科排名




書目名稱Machine Learning and Knowledge Extraction年度引用




書目名稱Machine Learning and Knowledge Extraction年度引用學(xué)科排名




書目名稱Machine Learning and Knowledge Extraction讀者反饋




書目名稱Machine Learning and Knowledge Extraction讀者反饋學(xué)科排名

obviate

978-3-319-99739-1IFIP International Federation for Information Processing 2018

constitutional

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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.

aggressor

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.

collagenase

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.

ensemble

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