Machine Learning and Knowledge Discovery in Databases
English, Asja Fischer, Grigorios Tsoumakas, Massih-Reza Amini, Petra Kralj Novak, Stéphane Canu, Tias Guns, 2023More than 10 pieces in stock at supplier
Product details
The book "Machine Learning and Knowledge Discovery in Databases" is a comprehensive collection of research papers presented at the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2022). This multi-volume series includes carefully selected and peer-reviewed contributions from 236 authors, drawn from over 1000 submitted papers. The conference took place in September 2022 in Grenoble, France, and covers a wide range of topics relevant to professionals and researchers in the field of data science. The volumes are divided into various thematic sections that address current trends and challenges in machine learning research. Topics covered range from clustering and anomaly detection to deep learning and reinforcement learning, making the book a valuable resource for anyone looking to engage with the latest developments in this dynamic field.
topic | Technology & IT |
Language | English |
Author | Asja Fischer, Grigorios Tsoumakas, Massih-Reza Amini, Petra Kralj Novak, Stéphane Canu, Tias Guns |
Year | 2023 |
Book cover | Paperback |
Item number | 56929820 |
Publisher | Springer |
Category | Reference books |
Release date | 27.3.2025 |
topic | Technology & IT |
Language | English |
Author | Asja Fischer, Grigorios Tsoumakas, Massih-Reza Amini, Petra Kralj Novak, Stéphane Canu, Tias Guns |
Year | 2023 |
Book cover | Paperback |
CO₂ emissions | 0.5 kg |
Climate contribution | CHF 0.11 |
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