posted by user: wael_emara || 27019 views || tracked by 108 users: [display]

ECML PKDD 2009 : The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

FacebookTwitterLinkedInGoogle

Link: http://www.ecmlpkdd2009.net/
 
When Sep 7, 2009 - Sep 11, 2009
Where Bled, Slovenia
Submission Deadline Apr 14, 2009
Notification Due Jun 5, 2009
Final Version Due Jun 12, 2009
Categories    machine learning   data mining
 

Call For Papers

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases provides an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. Encouraged are submissions of papers that describe the application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques. Submissions that demonstrate both theoretical and empirical rigor are especially encouraged.

Related Resources

ECML PKDD 2021   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
WSDM 2022   Web Search and Data Mining
ECML PKDD 2021   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
MECHATROJ 2021   Mechatronics and Applications: An International Journal (MECHATROJ)
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
MLNLP 2021   2nd International Conference on Machine Learning Techniques and NLP
AALTD@ECML 2021   6th ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data
DMSE 2021   2nd International Conference on Data Mining and Software Engineering
ISC HPC 2021   ISC HIGH PERFORMANCE 2021 DIGITAL
blockchain_ml_iot 2021   Network and Electronics (MDPI) Joint Special Issue - Blockchain and Machine Learning for IoT: Security and Privacy Challenges