| 書目名稱 | Machine Learning and Knowledge Discovery in Databases | | 副標(biāo)題 | European Conference, | | 編輯 | Ulf Brefeld,Elisa Fromont,Céline Robardet | | 視頻video | http://file.papertrans.cn/621/620510/620510.mp4 | | 叢書名稱 | Lecture Notes in Computer Science | | 圖書封面 |  | | 描述 | The three volume proceedings LNAI 11906 – 11908 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2019, held in Würzburg, Germany, in September 2019..The total of 130 regular papers presented in these volumes was carefully reviewed and selected from 733 submissions; there are 10 papers in the demo track. ..The contributions were organized in topical sections named as follows:..Part I: pattern mining; clustering, anomaly and outlier detection, and autoencoders; dimensionality reduction and feature selection; social networks and graphs; decision trees, interpretability, and causality; strings and streams; privacy and security; optimization...Part II: supervised learning; multi-label learning; large-scale learning; deep learning; probabilistic models; natural language processing...Part III: reinforcement learning and bandits; ranking; applied data science: computer vision and explanation; applied data science: healthcare; applied data science: e-commerce, finance, and advertising; applied data science: rich data; applied data science: applications; demo track.. | | 出版日期 | Conference proceedings 2020 | | 關(guān)鍵詞 | artificial intelligence; bayesian networks; classification; computer systems; data mining; data security; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-46133-1 | | isbn_softcover | 978-3-030-46132-4 | | isbn_ebook | 978-3-030-46133-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer Nature Switzerland AG 2020 |
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