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ECML PKDD

Known as: European Conference on Machine Learning, European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 
ECML PKDD, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, is one of the leading… 
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Related topics

Related topics

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Concept driftDBL-BrowserInternational Conference on Machine LearningMachine learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2014
Review
2014
20 years of pattern mining: a bibliometric survey
In 1993, Rakesh Agrawal, Tomasz Imielinski and Arun N. Swami published one of the founding papers of Pattern Mining: "Mining… 
Highly Cited
2012
Highly Cited
2012
A predictive model for the temporal dynamics of information diffusion in online social networks
Today, online social networks have become powerful tools for the spread of information. They facilitate the rapid and large-scale… 
Highly Cited
2010
Highly Cited
2010
Machine Learning and Knowledge Discovery in Databases (ECML PKDD)
2009
2009
Classification of HTTP Attacks: A Study on the ECML/PKDD 2007 Discovery Challenge
As the world becomes more reliant on Web applications for commercial, financial, and medical transactions, cyber attacks on the… 
Highly Cited
2007
Highly Cited
2007
Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
Review
2006
Review
2006
ECML-PKDD Discovery Challenge 2006 Overview
The Discovery Challenge 2006 deals with personalized spam flltering and generalization across related learning tasks. In this… 
2006
2006
Using Tri-Training and Support Vector Machines for addressing the ECML-PKDD 2006 Discovery Challenge
In this paper we present and analyze the methodological approach we have used for addressing the ECML - PKDD Discovery Challenge… 
Highly Cited
2004
Highly Cited
2004
Knowledge Discovery in Databases: PKDD 2004
Highly Cited
2003
Highly Cited
2003
Knowledge Discovery in Databases: PKDD 2003
Highly Cited
2001
Highly Cited
2001
Proceedings of the 12th European Conference on Machine Learning
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