| 书目名称 | Machine Learning and Knowledge Discovery in Databases |
| 副标题 | European Conference, |
| 编辑 | Michele Berlingerio,Francesco Bonchi,Georgiana Ifr |
| 视频video | |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | The three volume proceedings LNAI 11051 – 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. . The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535 submissions; there are 52 papers in the applied data science, nectar and demo track. .The contributions were organized in topical sections named as follows:. Part I: adversarial learning; anomaly and outlier detection; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation.. Part II: graphs; kernel methods; learning paradigms; matrix and tensor analysis; online and active learning; pattern and sequence mining; probabilistic models and statistical methods; recommender systems; and transfer learning. . Part III: ADS data science applications; ADS e-commerce; ADS engineering and design; ADS financial and security; ADS health; ADS sensing and positioning; nectar track; and demo track.. |
| 出版日期 | Conference proceedings 2019 |
| 关键词 | artificial intelligence; bayesian networks; big data; classification; clustering; data mining; data securi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-10925-7 |
| isbn_softcover | 978-3-030-10924-0 |
| isbn_ebook | 978-3-030-10925-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer Nature Switzerland AG 2019 |
发表于 2025-3-21 19:22:15
