04720nam 22007815 450 99669167120331620251004130426.03-662-72243-710.1007/978-3-662-72243-5(MiAaPQ)EBC32327736(Au-PeEL)EBL32327736(CKB)41543256500041(DE-He213)978-3-662-72243-5(EXLCZ)994154325650004120251004d2026 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierMachine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track European Conference, ECML PKDD 2025, Porto, Portugal, September 15–19, 2025, Proceedings, Part VIII /edited by Bernhard Pfahringer, Nathalie Japkowicz, Pedro Larrañaga, Rita P. Ribeiro, Inês Dutra, Mykola Pechenizkiy, Paulo Cortez, Sepideh Pashami, Alípio M. Jorge, Carlos Soares, Pedro H. Abreu, João Gama1st ed. 2026.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2026.1 online resource (955 pages)Lecture Notes in Artificial Intelligence,2945-9141 ;160203-662-72242-9 This multi-volume set, LNAI 16013 to LNAI 16022, constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2025, held in Porto, Portugal, September 15–19, 2025. The 300 full papers presented here, together with 15 demo papers, were carefully reviewed and selected from 1253 submissions. The papers presented in these proceedings are from the following three conference tracks: The Research Track in Volume LNAI 16013-16020 refers about Anomaly & Outlier Detection, Bias & Fairness, Causality, Clustering, Data Challenges, Diffusion Models, Ensemble Learning, Graph Neural Networks, Graphs & Networks, Healthcare & Bioinformatics, Images & Computer Vision, Interpretability & Explainability, Large Language Models, Learning Theory, Multimodal Data, Neuro Symbolic Approaches, Optimization, Privacy & Security, Recommender Systems, Reinforcement Learning, Representation Learning, Resource Efficiency, Robustness & Uncertainty, Sequence Models, Streaming & Spatiotemporal Data, Text & Natural Language Processing, Time Series, and Transfer & Multitask Learning. The Applied Data Science Track in Volume LNAI 16020-16022 refers about Agriculture, Food and Earth Sciences, Education, Engineering and Technology, Finance, Economy, Management or Marketing, Health, Biology, Bioinformatics or Chemistry, Industry (4.0, 5.0, Manufacturing, ...), Smart Cities, Transportation and Utilities (e.g., Energy), Sports, and Web and Social Networks The Demo Track in LNAI 16022 showcased practical applications and prototypes, accepting 15 papers from a total of 30 submissions. These proceedings cover the papers accepted in the research and applied data science tracks.Lecture Notes in Artificial Intelligence,2945-9141 ;16020Artificial intelligenceComputer networksComputersImage processingDigital techniquesComputer visionSoftware engineeringArtificial IntelligenceComputer Communication NetworksComputing MilieuxComputer Imaging, Vision, Pattern Recognition and GraphicsSoftware EngineeringArtificial intelligence.Computer networks.Computers.Image processingDigital techniques.Computer vision.Software engineering.Artificial Intelligence.Computer Communication Networks.Computing Milieux.Computer Imaging, Vision, Pattern Recognition and Graphics.Software Engineering.006.3Pfahringer Bernhard1758420Japkowicz Nathalie1753142Larrañaga Pedro1849903Ribeiro Rita P1431793Dutra Inês1849935Pechenizkiy Mykola1755820Cortez Paulo524960Pashami Sepideh1849936Jorge Alípio M1849904Soares Carlos961096MiAaPQMiAaPQMiAaPQBOOK996691671203316Machine Learning and Knowledge Discovery in Databases. Research Track and Applied Data Science Track4466448UNISA