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The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) is among the premier scientific forums in machine learning and data mining. It builds upon a series of ECML and PKDD conferences, which have been jointly organized since 2001. ¹⁾

PhD Forum/Consortium, Paper tracks, Workshops and Tutorials, Discovery Challenge

Conference History:

ECML PKDD 2025, September 15-19, 2025, Porto, Portugal

(Host: Department of Computer Science, Faculty of Science, University of Porto)

Conference workshops and tutorials TBD

ECML PKDD 2024, September 9-13, 2024, Vilnius, Lithuania

(Host: Software Engineering Department, University of Vilnius)

Pre-/Post-conference Workshops:
Explainable AI for Time Series and Data Streams Tutorial-Workshop (TempXAI 2024)
21st International Workshop on Mining and Learning with Graphs
Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2024)
11th Workshop on Machine Learning and Data Mining for Sports Analytics
Machine Learning for Chemistry and Chemical Engineering (ML4CCE 2024)
9th Workshop on Data Science for Social Good (SoGood 2024)
2nd International Workshop on Deep Learning meets Neuromorphic Hardware
2nd Workshop on Hybrid Human-Machine Learning and Decision Making (HLDM 2024)
​15th International Workshop on Machine Learning and Music (MML 2024)
8th International Workshop & Tutorial on Interactive Adaptive Learning (IAL 2024)
International workshop on AI for Human Resources and Public Employment Services (AI4HR & PES)
IoT, Edge, and Mobile for Embedded Machine (ITEM Workshop 2024)
6th Workshop on Machine Learning for CyberSecurity (MLCS 2024)
Machine Learning for Sustainable Power Systems (ML4SPS 2024)
9th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2024)
Tutorial and workshop on Explainable and Robust AI for Industry 4.0 & 5.0 (X-RAI 2024)
4th Workshop on Bias and Fairness in AI (BIAS 2024)
Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD 2024)
3rd International Workshop on Machine Learning for Irregular Time Series (ML4ITS 2024)
Workshop on Machine Learning for Earth Observation (MACLEAN 2024)
2nd Workshop on Advancements in Federated Learning (WAFL 2024)
9th Workshop on MIning DAta for financial applicationS (MIDAS)
12th Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2024)
Learning to Quantify: Methods and Applications (LQ 2024)
1st Workshop on Mining and Learning Real-world Dynamics via High-order Networks (MLH 2024)
1st International Workshop and Tutorial on Data-Centric Artificial Intelligence (DEARING 2024)
2nd International Tutorial and Workshop on Responsible Knowledge Discovery in Education (RKDE 2024)

Pre-/Post-conference Tutorials:
Uncertainty Estimation in Neural Networks
An Introduction to Machine Learning from Time Series
Navigating Complex Machine Learning Challenges in Streaming Data: A Hands-On Tutorial
Sustainable Deep Learning for Time-series: Reservoir Computing
Team Sports Analytics
Trustworthy Machine Learning under Imperfect Data
Causal Inference & Machine Learning for Online Controlled Experiments in Industry: A Hands-on Tutorial
Training and Using an Open-Source LLM
Synthetic Networked Data: Modeling Social-Graph Theories, and Applications

Discovery Challenges:
Seismic Monitoring and Analysis Challenge (SMAC)
Diving Deep: Forecasting Sea Surface Temperatures and Anomalies
Developing a Data driven Model for Predicting Failure Risk Levels for a Component of Volvo Heavy-duty Trucks

Keynotes:
The Dynamics of Memorization and Unlearning
The Emerging Science of Benchmarks
Enhancing User Experience with AI-Powered Search and Recommendations at Spotify
Resource-Aware Machine Learning — a User-Oriented Approach
How to Utilize (and Generate) Player Tracking Data in Sport

ECML PKDD 2023, September 18-22, 2023, Turin, Italy

(Host: Department of Automation and Computer Science, Polytechnic of Turin; Center for Artificial Intelligence)

Pre-/Post-conference Workshops:
10th Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA)
Workshop on Advancements in Federated Learning
LIMBO – LearnIng and Mining for BlOckchains
Simplification, Compression, Efficiency and Frugality for Artificial intelligence
MACLEAN: MAChine Learning for EArth ObservatioN
Deep learning meets Neuromorphic Hardware
RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education
XAI-TS: Explainable AI for Time Series: Advances and Applications
Adapting to Change: Reliable Multimodal Learning Across Domains
Neuro-symbolic Metalearning and AutoML
New Frontiers in Mining Complex Patterns
Learning to Quantify
AI4HR&PES: International workshop on AI for Human Resources and Public Employment Services
Challenges and Opportunities of Large Language Models in Real-World Machine Learning Applications
5th International Workshop on Learning with Imbalanced Domains: Theory and Applications
8th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD) at ECML-PKDD 2023
ITEM: IoT, Edge, and Mobile for Embedded Machine Learning
6th Workshop on AI in Aging, Rehabilitation and Intelligent Assisted Living (ARIAL)
XKDD 2023: 5th International Workshop on eXplainable Knowledge Discovery in Data Mining
SoGood 2023 – The 8th Workshop on Data Science for Social Good
Deep Learning and Multimedia Forensics. Combating fake media and misinformation
Advances in Interpretable Machine Learning and Artificial Intelligence — Joint Workshop and Tutorial
ML4ITS2023 – 2nd Workshop on Machine Learning for Irregular Time Series: Advances in Generative Models, Global Models and Self-Supervised Learning
Deep Learning for Sustainable Precision Agriculture
Knowledge Guided Machine Learning
Pervasive AI
Uplift Modeling and Causal Machine Learning for Operational Decision Making
Workshop on Advancements in Federated Learning
AI4M: AI for Manufacturing
7th Interactive Adaptive Learning Tutorial-Workshop
Towards Hybrid Human-Machine Learning and Decision Making (HLDM)
MIDAS – The 8th Workshop on MIning DAta for financial applicationS
Explainable Artificial Intelligence: From Static to Dynamic
Machine Learning for Cybersecurity (MLCS 2023)
ML, Law and Society
BIAS 2023 – 3rd Workshop on Bias and Fairness in AI
Biased Data in Conversational Agents
Uncertainty meets explainability in machine learning
MLG: Mining and Learning with Graphs
MARBLE: Machine Learning and Artificial Intelligence for Biologics Engineering
PharML, Machine Learning for Pharma and Healthcare Applications
Neuro-Explicit AI and Expert-informed Machine Learning for Engineering and Physical Sciences

Pre-/Post-conference Tutorials:
Revolutionizing Anomaly Detection: Approaches and Guidelines
Time Series Forecasting with Deep Probabilistic Approaches
RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education
Tutorial on Machine Learning and Predictive Diplomacy
Learning to Quantify
Advances in Interpretable Machine Learning and Artificial Intelligence — Joint Workshop and Tutorial
Sustainable Deep Learning for Time-series: Reservoir Computing
Graph-based Processing of Spatiotemporal Time Series: Forecasting, Reconstruction and Analysis
Opportunities and Challenges for Online Deep Learning
Pervasive AI
7th Interactive Adaptive Learning Tutorial-Workshop
Uncertainty meets explainability in machine learning
Deep Learning for Graphs: a generative, dynamic and reasoning perspective
Neuro-Explicit AI and Expert-informed Machine Learning for Engineering and Physical Sciences

Discovery Challenges:
Human Activity Segmentation Challenge
Ariel Space Mission Data Challenge
ChaBuD: Change detection for Burned area Delineation

Keynotes:
Neural Wave Representations
Physics-inspired Graph Neural Networks
Mapping Generative AI

ECML PKDD 2022, September 19-23, 2022, Grenoble, France / Virtual venue

(Host: Grenoble INP – UGA Institut d’ingénierie et de management, Graduate schools of engineering and management, University of Genoble Alpes)

Pre-/Post-conference Workshops:
Machine Learning and Data Mining for Sports Analytics
MACLEAN: MAChine Learning for EArth Observation
Machine Learning for Cybersecurity (MLCS)
4th. Int. Workshop on eXplainable Knowledge Discovery in Data Mining (XKDD)
3rd PharML, Machine Learning for Pharma and Healthcare Applications
Quantum Machine Learning: Theory, Algorithms and Applications
Multi-Label Learning: Current Trends and Open Challenges
IoT, Edge, and Mobile for Embedded Machine Learning
Semantic Data Mining (SEDAMI)
7th Int. Workshop on Advanced Analytics and Learning on Temporal Data
SoGood 2022 – 7th Int. Workshop on Data Science for Social Good
6th Int. Workshop on Interactive Adaptive Learning
2nd Int. Workshop on Fair, Effective, and Sustainable Talent management using data science
MLG: Mining and Learning with Graphs
Teaching Machine Learning
KDID 2022: 20th anniversary of KDID Workshop
NeFrontiers in Mining Complex Patterns
MIDAS 2022 – The 7th Workshop on MIning DAta for financial applicationS
Data and Model Quality for Mining and Learning with Graphs: Methods and Open Challenges (Graph Quality)
Learning to Quantify: Methods and Applications
DALS: Data Analysis in Life Sciences
Machine Learning for Buildings Energy Management (MLBEM)
Machine Learning for Microbial Genomics

Pre-/Post-conference Tutorials:
Graph Embedding for Web-Scale Recommender Systems
Reward-Optimizing Recommendation using Deep Learning and Fast Inner Product Search
Validity, Reliability, and Significance: a Tutorial on Statistical Methods for Reproducible Machine Learning
Sparse Neural Networks Training
Graph Mining and Multi-Relational Learning: Tools and Application
Hyperbolic Graph Representation Learning: A Tutorial
What if rewards are Unknown? Battle of Bandits: Online learning from Preference Feedback, Beyond Rewards

Pre-/Post-conference Combined Workshops and Tutorials:
(Meta-)Knowledge Transfer/Communication in Different Systems

Discovery Challenges:
Lung Cancer Survival Prediction Challenge
PRINCE Out-of-distribution Generalization Challenge
Expedia Group Cross-brand Lodging Recommendation

Keynotes:
Information theory with kernel methods
Mining & Learning [Compact] Representations for Structured Data
Explainable Machine Learning for Trustworthy AI
From Machine Learning to Autonomous Intelligence

ECML PKDD 2021, September 13-17, 2021, Bilbao, Basque Country (Spain) Virtual venue

(Host: Basque Center for Applied Mathematics, University of the Basque Country)

Pre-/Post-conference Workshops:
MACLEAN: MAChine Learning for EArth ObservatioN
5th Interactive Adaptive Learning Workshop
ITEM: IoT, Edge, and Mobile for Embedded Machine Learning
SoGood 2021 – Sixth Workshop on Data Science for Social Good
Advanced Analytics and Learning on Temporal Data Workshop (AALTD)
Machine Learning for Cybersecurity (MLCS 2021)
New Trends in Representation Learning with Knowledge Graphs
8th Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics (MLSA)
MIDAS – The 6th Workshop on MIning Data for financial applications
Machine Learning for Irregular Time-series (ML4ITS)
Machine Learning in Software Engineering (MLiSE 2021)
Teaching Machine Learning
Machine Learning for Pharma and Healthcare Applications (PharML)
Automating Data Science
Parallel, Distributed, and Federated Learning
FEAST: International Workshop on Fair, Effective, and Sustainable Talent management using data science
AIMLAI: Advances in Interpretable Machine Learning and Artificial Intelligence
Machine Learning for Buildings Energy Management (MLBEM 2021)
Learning with Imbalanced Domains: Theory and Applications

Pre-/Post-conference Tutorials:
Machine Learning Meets Internet of Things: From Theory to Practice
Adversarial Robustness of Deep Learning: Theory, Algorithms, and Applications
Data Shift in Machine Learning: What is it, and what are potential remedies
Automated Machine Learning: Methods, Tools and Challenges
FAIR multi-label classification
Machine Learning and Reasoning for Drug Discovery
Uncertainty-aware classification: From rejection to set-valued prediction

Pre-/Post-conference Combined Workshops & Tutorials:
XKDD 2021: 3rd International Workshop and Tutorial on eXplainable Knowledge Discovery in Data Mining
GEM: Graph Embedding and Mining

Discovery Challenges:
Farfetch Fashion Recommendations Challenge
Finding the planet in the noise: De-trending exoplanet lightcurves from non-linear noise
Discover the mysteries of the Maya

Keynotes:
WuDao: Pretrain the World
The Value of Data for Personalization
AI fairness in practice
Safety and robustness for deep learning with provable guarantees

ECML PKDD 2020, September 14-18, 2020, Ghent, Belgium Virtual venue

(Host: Department of Electronics and Information Systems, Ghent University)

Pre-/Post-conference Workshops:
4th Workshop on Interactive Adaptive Learning; Machine Learning for Cybersecurity (MLCS); 2nd Workshop on Deep Continuous-Discrete Machine Learning (DeCoDeML 2020); Machine Learning for Pharma and Healthcare Applications; 2nd Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning (EDML 2020); XKDD – Int Workshop on eXplainable Knowledge Discovery in Data Mining; 6th Workshop on Data Integration and Applications (DINA); Parallel, Distributed, and Federated Learning; ITEM – IoT, Edge, and Mobile for Embedded Machine Learning; Teaching Machine Learning and Artificial Intelligence; Advanced Analytics and Learning on Temporal Data; Machine Learning and Data Mining for Sports Analytics (MLSA20); MACLEAN – MAChine Learning for EArth ObservatioN; MIDAS – The 5th Workshop on MIning DAta for financial applicationS; MML 2020 – 13th Int. Workshop on Machine Learning and Music; SoGood 2020 – 5th Workshop on Data Science for Social Good; GEM – Graph Embedding and Mining; Uncertainty in Machine Learning;

Pre-/Post-conference Tutorials:
Probabilistic Circuits – Representations, Inference, Learning and Applications; Topological Data Analysis for Machine Learning; Learning with Imbalanced Domains and Rare Event Detection; Explainable AI for Deep Networks – Basics and Extensions; Graph Representation Learning and Applications; What and How of Machine Learning Transparency – Building Bespoke Explainability Tools with Interoperable Algorithmic Components; Put Deep Learning to work – Accelerate Deep Learning through AWS EC2 and ML Services

Pre-/Post-conference Combined Workshops & Tutorials:
Uncertainty in Machine Learning

Discovery Challenges:
Chat Analytics for Twitch (ChAT)

Keynotes:
Interpretability for everyone
Building Knowledge For AI Agents With Reinforcement Learning
Algorithmic Auditing: how to open the black-box of ML
Amortized and Neural Augmented Inference
Can you trust your GNN? — Certifiable Robustness of Machine Learning Models for Graphs

ECML PKDD 2019, September 16-20, 2019, Würzburg, Germany

(Host: Data Mining and Information Retrieval Research Group, University of Würzburg)

Pre-/Post-conference Workshops:
MML 2019: 12th International Workshop on Machine Learning and Music; MIDAS – The 4th Workshop on MIning DAta for financial applicationS; Second International Workshop on Knowledge Discovery and User Modeling for Smart Cities; New Frontiers in Mining Complex Patterns; New Trends in Representation Learning with Knowledge Graphs; HummeL: Humanities meets Learning – Challenges for Computational Literary Studies (Cancelled); Second International Workshop on Energy Efficient Scalable Data Mining and Machine Learning. Green Data Mining; Workshop on Deep Continuous-Discrete Machine Learning (DeCoDeML 2019); Decentralized Machine Learning at the Edge; Applications of Topological Data Analysis; GEM: Graph Embedding and Mining; Interactive Adaptive Learning; Machine Learning for Cybersecurity (MLCS); BioASQ: Large-scale biomedical semantic indexing and question answering; 6th Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics (MLSA); 4th workshop on Advanced Analytics and Learning on Temporal Data; MACLEAN: MAChine Learning for EArth ObservatioN; Automating Data Science; The Fourth Workshop on Data Science for Social Good; Advances in managing and mining large evolving graphs (third edition); Data and Machine Learning Advances with Multiple Views; Workshop on Data Integration and Applications

Pre-/Post-conference Tutorials:
Constraint Learning; Machines Who Imagine: Going Beyond Data Science; Data Mining and Machine Learning using Constraint Programming Languages – An Overview and Future Directions; On Ordered Sets in Pattern Mining; Machine Learning for Automatic Word Problem Solving; Scalable Deep Learning: from theory to practice

Pre-/Post-conference Combined Workshops & Tutorials:
XKDD Tutorial and XKDD – AIMLAI Workshop

ECML PKDD 2018, September 10-14, 2018, Dublin, Ireland

(Host: Insight Centre for Data Analytics, University College Dublin)

Pre-/Post-conference Workshops:
Machine Learning and Data Mining for Sports Analytics (MLSA); New Frontiers in Mining Complex Patterns; DARE: Data Analytics for Renewable Energy Integration; Interactive Adaptive Learning; KnowMe 2018: 2nd International Workshop on Knowledge Discovery from Mobility and Transportation Systems; Data Science for Human Capital Management; Advanced Analytics and Learning on Temporal Data; SoGood 2018, The Third Workshop on Data Science for Social Good; Urban Reasoning from Complex Challenges in Cities; Green Data Mining, International Workshop on Energy Efficient Data Mining and Knowledge Discovery; The 3rd Workshop on MIning DAta for financial applicationS; Decentralized Machine Learning on the Edge

Pre-/Post-conference Tutorials:
Mining Subjectively Interesting Patterns in Data; Efficiency/ Effectiveness Trade-ofs in Learning to Rank; Deep Learning for Graphs; Deep Learning for Natural Language Sentiment and Affect

Pre-/Post-conference Combined Workshops with Tutorials:
Learning with Imbalanced Domains: Theory and Applications; IoT Large Scale Machine Learning from Data Streams; Nemesis’18: Recent advances in adversarial machine learning

ECML PKDD 2017, 18-22 September 2017, Skopje, Macedonia

(Organizers: Univeristy of Bari; Ss. Cyril and Methodius University of Skopje; Jožef Stefan Institute)

Pre-/Post-conference Workshops:
MLSA 2017 – Machine Learning and Data Mining for Sports Analytics; SoGood 2017 – Data Science for Social Good; SURL – Scaling-Up Reinforcement Learning; MIDAS – 2nd Workshop on MIning DAta for financial applicationS; TDLSG – Advances in Mining Large-Scale Time-Dependent Graphs; NFMCP 2017 – The 6th International Workshop on New Frontiers in Mining Complex Patterns; LIDTA 2017 – Learning with Imbalanced Domains: Theory and Applications; DLPM 2017 – Deep Learning for Precision Medicine; DMNLP 2017 – 4th Workshop on Interactions between Data Mining and Natural Language Processing; DMSC – Data Mining with Secure Computation; KnowMe – 1st International Workshop on Knowledge Discovery from Mobility and Transportation Systems; DARE 2017 – 5th International Workshop on Data Analytics for Renewable Energy Integration

Pre-/Post-conference Tutorials:
Machine learning with fossil data: analyzing environmental and climate change; Deep Learning for Computer Vision Applications: Robotics and Driving

Pre-/Post-conference Combined Workshops with Tutorials:
IoT Large Scale Learning from Data Streams; Interactive Adaptive Learning; AutoML – Automatic selection, configuration, and composition of machine learning algorithms

ECML PKDD 2016, September 19–23, 2016, Riva del Garda, Italy

(Organizers: University of Trento, Università degli Studi di Firenze, Istituto di Calcolo e Reti ad Alte Prestazioni)

Pre-/Post-conference Workshops:
MLSA Machine Learning and Data Mining for Sports Analytics; AALTD 2nd ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data; MIDAS The First Workshop on MIning DAta for financial applicationS; NFmcp 5th International Workshop on New Frontiers in Mining Complex Patterns; SDDM The 2nd ECML/PKDD 2016 workshop on Statistically Sound Data Mining; SoGood Data Science for Social Good; DLPM Deep Learning for Precision Medicine; MML International Workshop on Music and Machine Learning; DMNLP 3rd Edition of the Workshop on Interactions between Data Mining and Natural Language Processing; DARE 4th International Workshop on Data Analytics for Renewable Energy Integration; MLLS 4th Workshop on Machine Learning in Life Sciences; DADA 1st International Workshop on Domain Adaptation for Dialog Agents; STREAMEVOLV-2016 Learning from Data Streams in Large-Scale Evolving Environments: Challenges, Methods and Applications

Pre-/Post-conference Tutorials:
Preference-based Pattern Mining; Machine Learning Meets Philosophy: From Epistemology to Ethics; Context-Aware Knowledge Discovery: Opportunities, Techniques and Applications; Learning from Hospital Data and Learning from Cohorts; Large-scale Learning from Data Streams in Evolving Environments; The data scientist’s guide for writing papers; An Introduction to Redescription Mining; Probabilistic logics in machine learning; Learning Bayesian Networks for Complex Relational Data

ECML PKDD 2015, September 7-11, 2015, Porto, Portugal

(Host: INESC TEC / SIGARRA, University of Porto)

Pre-/Post-conference Workshops:
WK1: MetaSel – Meta-learning & Algorithm Selection; WK2: Parallel and Distributed Computing for Knowledge Discovery in Databases; WK3: DMNLP’15: Second Edition of the Workshop on Interactions between Data Mining and Natural Language Processing; WK4: New Frontiers in Mining Complex Pattern; WK5: 6th International Workshop on Mining Ubiquitous and Social Environments (MUSE 2015); WK6: Advanced Analytics and Learning on Temporal Data; WK7: 2nd International Workshop on Learning Models over Multiple Contexts; WK8: LD4KD2015- 2nd workshop on Linked Data for Knowledge Discovery; WK11: DARE: Data Analytics for Renewable Energy Integration; WK12: Workshop on Machine Learning in Life Sciences

Pre-/Post-conference Tutorials:
T1: Similarity and Distance Metric Learning with Applications to Computer Vision; T2: Scalable learning of graphical models; T3: Meta-learning & Algorithm Selection; T5: VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms; T6: Making Sense of (Multi-)Relational Data; T10: The Space of Online Learning Problems

Co-located Events:
Summer School on Data Science for Big Data – Resource Aware Data Mining, 2-5 Sep

ECML PKDD 2014, September 15-19, 2014, Nancy, France

(Host: Lorraine Research Laboratory in Computer Science and its Applications, University of Lorraine)

Pre-/Post-conference Workshops:
Dynamic Networks and Knowledge Discovery (DyNaK II); Interactions between Data Mining and Natural Language Processing (DMNLP); Mining Ubiquitous and Social Environments (MUSE); Statistically Sound Data Mining; Machine Learning for Urban Sensor Data (SenseML 2014); Representation Learning (RL 2014); Data Analytics for Renewable Energy Integration (DARE’14); Linked Data for Knowledge Discovery (LD4KD); New Frontiers in Mining Complex Patterns (NFmcp 2014); Experimental Economics and Machine Learning (EEML 2014) (Cancelled); Learning with Multiple Views: Applications to Computer Vision and Multimedia Mining (LEMA 2014); Generalization and reuse of machine learning models over multiple contexts (LMCE 2014)

Pre-/Post-conference Tutorials:
T1: Medical Mining for Clinical Knowledge Discovery; T2: Patterns in Noisy and Multidimensional Relations and Graphs; T3: The Pervasiveness of Machine Learning in Omics Science; T4: Conformal Predictions for Reliable Machine Learning; T5: The Lunch is Never Free: How Information Theory, MDL, and Statistics are Connected; T6: Information Theoretic Methods in Data Mining; T7: Machine Learning with Analogical Proportions; T8: Preference Learning Problems; T9: Deep Learning

ECML PKDD 2013, September 23-27, 2013, Prague, Czech Republic

(Host: Department of Computer Science, Czech Technical University in Prague)

Pre-/Post-conference Workshops:
Music and Machine Learning; Reinforcement Learning with Generalized Feedback; Languages for Data Mining and Machine Learning; Data Mining on Linked Data; Mining Ubiquitous and Social Environments; Data Analytics for Renewable Energy Integration; Discovery Challenge Workshop; Tensor Methods in Machine Learning; Solving Complex Machine Learning Problems with Ensemble Methods; New Frontiers in Mining Complex Patterns; Real-World Challenges for Data Stream Mining

Pre-/Post-conference Tutorials:
Multi-Agent Reinforcement Learning; Second order learning; Algorithmic techniques for modeling and mining large graphs; Web Scale Information Extraction; Mining and learning with network-structured data; Performance Evaluation of Machine Learning Algorithms; Discovering Roles and Anomalies in Graphs: Theory and Applications; Statistically sound pattern discovery

ECML PKDD 2012, September 24-28, 2012, University of Bristol, Bristol, UK

(Host: Intelligent Systems Laboratory, Department of Computer Science, University of Bristol)

Pre-/Post-conference Workshops:
MUSE: Mining Ubiquitous and Social Environments; NFMCP: New Frontiers in Mining Complex Patterns; Silver: The Silver Lining – learning from unexpected results; IID: Instant Interactive Data Mining; LDSSB: Learning and Discovery in Symbolic Systems Biology; SDAD: Sentiment Discovery from Affective Data; ALRA: Active Learning in Real-world Applications; I-Pat: Mining and exploiting interpretable local patterns; COMMPER: Community Mining and People Recommenders; CoLISD: Collective Learning and Inference on Structured Data

Pre-/Post-conference Tutorials:
Session Advanced Topics on Data Stream Mining; Advanced Topics in Ensemble Learning; Decomposing Binary Matrices: Where Linear Algebra Meets Combinatorial Data Mining; Mining Deep Web Repositories; PAC-Bayesian Analysis in Supervised, Unsupervised, and Reinforcement Learning; Random Projections for Machine Learning and Data Mining: Theory and Applications; Understanding and Managing Cascades on Large Graphs

ECML PKDD 2011, September 5-9, 2011, Athens, Greece

(Host: Data Science Lab, University of Piraeus)

Pre-/Post-conference Workshops:
2nd MultiClust Workshop on Discovering, Summarizing and Using Multiple Clusterings; Workshop on Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions; Workshop Mining Ubiquitous and Social Environments (MUSE 2011); Joint ECML/PKDD – PASCAL Workshop on Large-Scale Hierarchical Classification; Workshop on Planning to Learn and Service-Oriented Knowledge Discovery (PlanSoKD-11); Workshop on Machine Learning and Data Mining in and around Games; Workshop on Collective Learning and Inference on Structured Data (CoLISD); Workshop on Knowledge Discovery in Health Care and Medicine (KD-HCM); Workshop on Mining Complex Entities from Network and Biomedical Data (MIND 2011)

Pre-/Post-conference Tutorials:
Privacy Challenges and Solutions for Medical Data Sharing; Mining complex dynamic data; Introduction to causal discovery: A Bayesian Networks approach; Mining Complex Entities from Heterogeneous Information Networks; Semantic Data Mining

ECML PKDD 2010, September 20-24, 2010, Barcelona, Spain

(Host: Department of Computer Science, Universitat Politècnica de Catalunya)

Pre-/Post-conference Workshops:
Analysis of Complex Networks; Mining Ubiquitous and Social Environments; Privacy and Security issues in Data Mining and Machine Learning; hird Generation Data Mining: Towards Service-Oriented Knowledge Discovery; Handling Concept Drift in Adaptive Information Systems: Importance, Challenges and Solutions; Preference Learning; Dynamic Networks and Knowledge Discovery

Pre-/Post-conference Tutorials:
Robot skill Learning; Mining Sets of Patterns; Algorithms for Predicting Structured Data; A Bayesian Look at Statistical Machine Learning (Cancelled); Preference Learning; Learning from Evolving Data

ECML PKDD 2009, September 7-11, 2009, Bled, Slovenia

(Host: Jozef Stefan Institute)

Pre-/Post-conference Workshops:
Learning from Multi-Label Data; Learning and data Mining for Robotics; Learning from non-IID Data: Theory, Algorithms and Practice; Learning Monotone Models from Data; Music and Machine Learning; Service-oriented Knowledge Discovery; Explorative Analytics of Information Networks; Preference Learning

Pre-/Post-conference Tutorials:
Learning from Multi-label Data; Methods for Large Network Analysis; Evaluation in Machine Learning; Transfer Learning for Reinforcement Learning Domains

ECML PKDD 2008, September 15-19, 2008, University of Antwerp, Antwerp, Belgium

(Host: Advanced Database Research and Modeling (ADReM) Lab / Centre for Computational Linguistics and Psycholinguistics (CLiPS), University of Antwerp)

Pre-/Post-conference Workshops:
New Challenges for Feature Selection in Data Mining and Knowledge Discovery; Third Generation Data Mining: Towards Service-oriented Knowledge Discovery; Wikis, Blogs, Bookmarking Tools – Mining the Web 2.0; Statistical and Relational Learning in Bioinformatics; Ubiquitous Knowledge Discovery; Mining Multidimensional Data; Preference Learning; High-level Information Extraction

Pre-/Post-conference Tutorials:
Applied Text Mining; Mobility, Data Mining and Privacy; Embedded Machine Learning: Using Support Vector Machines in Wireless Sensor Networks using TinyOS and Lego Mindstorms NXT; Knowledge Discovery from Evolving Data; Text Mining and Link Analysis for Web and Semantic Web; Logical and Relational Learning: A New Synthesis; Web Mining; Data Mining for Anomaly Detection; The Regularization Frontier in Machine Learning

18th ECML/11th PKDD 2007, September 17-21, 2007, Warsaw University, Warsaw, Poland

(Host: Institute of Computer Science, Polish Academy of Sciences)

Pre-/Post-conference Workshops:
Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions; Knowledge Discovery from Ubiquitous Data Streams; Planning to Learn; Multi-Relational Data Mining; Prior Conceptual Knowledge in Machine Learning and Knowledge Discovery ; Web Mining 2.0; International Workshop on Constraint-Based Mining and Learning; Rough Sets in Knowledge Discovery: Foundations and Applications; Mining Complex Data

Pre-/Post-conference Tutorials:
State-of-the-Art in Data Stream Mining; Exploring the Power of Links in Data Mining; The Challenges of the Semantic Web to Machine Learning and Data Mining; Discovering and Tracking User Communities

17th ECML/10th PKDD 2006, September 18-22, 2006, Humboldt-Universität zu Berlin, Berlin, Germany

(Host: Knowledge Management Group, School of Computer Science, Humboldt-Universität zu Berlin)

Pre-/Post-conference Workshops:
Knowledge Discovery in Inductive Databases; Data and Text Mining for Integrative Biology; Knowledge Discovery from Data Streams; Parallel Data Mining; Ubiquitous Knowledge Discovery for Users; Practical Data Mining: Applications, Experiences and Challenges; Autonomic Computing: A New Challenge for Machine Learning

Pre-/Post-conference Tutorials:
An easy statistical theory for highly scalable learning algorithms; Agent Intelligence Through Data Mining; Machine Learning of Natural Language; Cryptographic techniques in privacy-preserving data-mining; Randomization Based Privacy Preserving Data Mining; Autonomic Computing: A New Challenge for Machine Learning

Associated Events:
Summer School: Knowledge Discovery for Ubiquitous Computing, Dortmund, Germany, Sep 14-16

16th ECML/9th PKDD 2005, October 3-7, 2005, Porto, Portugal

(Host: Artificial Intelligence and Computer Science Laboratory, University of Porto)

Pre-/Post-conference Workshops:
n.a.

Pre-/Post-conference Tutorials:
n.a.

15th ECML/8th PKDDECML/PKDD 2004, September 20-24, 2004, Pisa, Italy

(Host: Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”)

Pre-/Post-conference Workshops:
Statistical Approaches to Web Mining (SAWM); Knowledge Discovery and Ontologies; Symbolic and Spatial Data Analysis: Mining Complex Data Structures; Mining Graphs, Trees and Sequences (MGTS’04); Third International Workshop on Knowledge Discovery in Inductive Databases (KDID); Advances in Inductive Rule Learning; Data Mining and Adaptive Modelling Methods for Economics and Management (IWAMEM-04); Data Mining and Text Mining for Bioinformatics; Privacy and Security Issues in Data Mining; Knowledge Discovery in Data Streams

Pre-/Post-conference Tutorials:
Evaluation in Web Mining; Distributed Data Mining for Sensor Networks; Symbolic Data Analysis; Statistical Approaches used in Machine Learning; Rule-based Data Mining Methods for Classification Problems in the Biomedical Domain; Mining Unstructured Data

14th ECML/7th PKDDECML/PKDD 2003, September 22-26, 2003, Cavtat/Dubrovnik, Croatia

(Host: Ruder Boskovic Institute)

Pre-conference Workshops:
W1: First European Web Mining Forum; W2: Multimedia Discovery and Mining; Data Mining and Text Mining in Bioinformatics ;W4: Knowledge Discovery in Inductive Databases; W5: Graph, Tree and Sequence Mining; Probabilistic Graphical Models for Classification; Parallel and Distributed Computing for Machine Learning

Pre-conference Tutorials:
T1: KD Standards; Data Mining and Machine Learning in Time Series Databases; Exploratory Analysis of Spatial Data and Decision Making using Interactive Maps and Linked Dynamic Displays; Music Data Mining

Pre-conference Tutorial/Workshop combinations:
TW1: Learning Context-Free Grammars; TW2: Adaptive Text Extraction and Mining

13th ECML/6th PKDD 2002, August 19-23, 2002, University of Helsinki, Helsinki, Finland

(Host: Department of Computer Science, University of Helsinki)

Pre-conference Workshops:
WS1: IDDM – Integration and Collaboration Aspects of Data Mining, Decision Support and Meta-Learning; WS2: VDM – Visual Data Mining; WS3: SdR – Le Salon des Refusés – When Learning and Mining Efforts Do Not Meet Success; WS4: SWM – Semantic Web Mining; WS5: MOD – Mining Official Data; WS6: KDID – Knowledge Discovery in Inductive Databases

Pre-conference Tutorials:
T1: Text Mining and Internet Content Filtering; T3: Web Usage Mining for E-business Applications; T4: Inductive Databases and Constraint-based Mining; T5: An Introduction to Quality Assessment in Data Mining; T6: Privacy, Security, and Data Mining

12th ECML/5th PKDD 2001, September 3-7, 2001, Freiburg, Germany

(Host: Lab for Machine Learning, University of Freiburg)

Workshops:
(W01) Semantic Web Mining; (W02) Machine Learning as Experimental Philosphy of Science; (W03) Visual Data Mining; (W04) Integrating Aspects of Data Mining, Decision Support and Meta-Learning; (W05) Active Learning, Database Sampling, Experiment Design: Views on Instance Selection; (W06) Multi-Relational Data Mining; (W09) Database Support for KDD; (W10) Data Mining for Marketing Applications; (W11) Ubiquitous Data Mining: Technology for Mobile and Distributed KDD

Tutorials:
Development and Applications of Ontologies; Co-training and learning from labeled data and unlabeled data; KDD for Personalization; Text Mining: What if your data is made of words?; Visual Data Mining and Exploration of Large Databases

European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD)
(European Symposium on Principles of Knowledge Discovery and Data Mining (PKDD), 1997-98)

4th PKDD 2000, September 13-16, 2000, Lyon, France

3rd PKDD 1999, September 15-18, 1999, Prague, Czech Republic

2nd PKDD 1998, September 23-26, 1998, Nantes, France

1st PKDD 1997, June 24-27, 1997, Trondheim, Norway

European Conference on Machine Learning (ECML)
(European Working Session on Learning (EWSL), 1986-91)

11th ECML 2000, May 30-June 2, 2000, Barcelona, Spain

10th ECML 1998, April 21-24, 1998, Chemnitz, Germany

9th ECML 1997, Prague, Czech Republic, April 23-26, 1997

8th ECML 1995, April 25-27, 1995, Heraclion, Crete, Greece

7th ECML 1994, April 6-8, 1994, Catania, Italy

6th ECML 1993, April 5-7, 1993, Vienna, Austria

5th EWSL 1991, March 6-8, 1991, Porto, Portugal

4th EWSL 1989, December 4-6, 1989, Montpellier, France

3rd EWSL 1988, October 3-5, 1988, Glasgow, Scotland, UK

2nd EWSL 1987, May 13-15, 1987, Bled, Yugoslavia

1st EWSL 1986, February 3-4, 1986, Orsay, France