Machine Learning and Knowledge Discovery in Databases Lecture Notes in Artificial Intelligence

Machine Learning and Knowledge Discovery in Databases Lecture Notes in Artificial Intelligence European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part I - Lecture Notes in Computer Science

1st Edition 2017

Paperback (30 Dec 2017)

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Publisher's Synopsis

The three volume proceedings LNAI 10534 - 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. 

The total of 101 regular papers presented in part I and part II was carefully reviewed and selected from 364 submissions; there are 47 papers in the applied data science, nectar and demo track. 

The contributions were organized in topical sections named as follows:
Part I: anomaly detection; computer vision; ensembles and meta learning; feature selection and extraction; kernel methods; learning and optimization, matrix and tensor factorization; networks and graphs; neural networks and deep learning.
Part II: pattern and sequence mining; privacy and security; probabilistic models and methods; recommendation; regression; reinforcement learning; subgroup discovery; time series and streams; transfer and multi-task learning; unsupervised and semisupervised learning.
Part III: applied data science track; nectar track; and demo track.

Book information

ISBN: 9783319712482
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 1st Edition 2017
Language: English
Number of pages: 852
Weight: 1261g
Height: 235mm
Width: 155mm
Spine width: 46mm