Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Machine Learning and Knowledge Discovery in Databases by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319712468
Publisher: Springer International Publishing Publication: December 29, 2017
Imprint: Springer Language: English
Author:
ISBN: 9783319712468
Publisher: Springer International Publishing
Publication: December 29, 2017
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Cross-Cultural Design. Applications in Cultural Heritage, Creativity and Social Development by
Cover of the book Imagine Math 3 by
Cover of the book Swift, Certain and Fair by
Cover of the book Killing Orders by
Cover of the book The Prostate Cancer Dilemma by
Cover of the book Screening Asylum in a Culture of Disbelief by
Cover of the book Semantic Keyword-Based Search on Structured Data Sources by
Cover of the book Determinants of Economic Growth in Africa by
Cover of the book Surprise: An Emotion? by
Cover of the book Principles of River Hydraulics by
Cover of the book Adipose Tissue Biology by
Cover of the book The New Mountaineer in Late Victorian Britain by
Cover of the book Automated Technology for Verification and Analysis by
Cover of the book Advances in Human Factors in Simulation and Modeling by
Cover of the book Materials Processing Fundamentals 2019 by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy