Machine Learning and Knowledge Discovery in Databases. Research Track

English, Fernando Pérez-Cruz, Jesse Read, Jose A. Lozano, Nuria Oliver, Stefan Kramer, 2021
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The book "Machine Learning and Knowledge Discovery in Databases. Research Track" is a comprehensive collection of research papers presented at the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2021). This conference took place online from September 13 to 17, 2021, due to the COVID-19 pandemic. The volumes contain 210 carefully selected and peer-reviewed contributions from a total of 869 submitted papers. The content is divided into various thematic sections that address current trends and challenges in the field of machine learning and data analysis. Topics covered range from online and reinforcement learning to generative models, as well as application areas such as text mining and image processing. This work is aimed at professionals and researchers who wish to engage with the latest developments in data science and related technologies.

Key specifications

topic
Technology & IT
Language
English
Author
Fernando Pérez-Cruz, Jesse Read, Jose A. Lozano, Nuria Oliver, Stefan Kramer
Year
2021
Book cover
Paperback

General information

Item number
56203586
Publisher
Springer
Category
Reference books
Release date
11.3.2025

Book properties

topic
Technology & IT
Language
English
Author
Fernando Pérez-Cruz, Jesse Read, Jose A. Lozano, Nuria Oliver, Stefan Kramer
Year
2021
Book cover
Paperback

Voluntary climate contribution

CO₂ emissions
0.35 kg
Climate contribution
CHF 0.11

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