Machine Learning and Knowledge Discovery in Databases Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2018, Dublin, Ireland, September 10–14, 2018, Proceedings, Part III

Ulf Brefeld والمزيد
    • ‏39٫99 US$
    • ‏39٫99 US$

وصف الناشر

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 learning; ensemble 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.

النوع
كمبيوتر وإنترنت
تاريخ النشر
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١٧ يناير
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer International Publishing
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Machine Learning and Knowledge Discovery in Databases Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Knowledge Discovery in Databases Machine Learning and Knowledge Discovery in Databases
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Machine Learning and Data Mining in Pattern Recognition Machine Learning and Data Mining in Pattern Recognition
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Advanced Data Mining and Applications Advanced Data Mining and Applications
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Advances in Knowledge Discovery and Data Mining Advances in Knowledge Discovery and Data Mining
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Intelligent Data Engineering and Automated Learning – IDEAL 2018 Intelligent Data Engineering and Automated Learning – IDEAL 2018
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Machine Learning and Data Mining for Sports Analytics Machine Learning and Data Mining for Sports Analytics
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Machine Learning and Data Mining for Sports Analytics Machine Learning and Data Mining for Sports Analytics
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Machine Learning and Data Mining for Sports Analytics Machine Learning and Data Mining for Sports Analytics
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Machine Learning and Data Mining for Sports Analytics Machine Learning and Data Mining for Sports Analytics
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Machine Learning and Data Mining for Sports Analytics Machine Learning and Data Mining for Sports Analytics
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Machine Learning and Data Mining for Sports Analytics Machine Learning and Data Mining for Sports Analytics
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