Call For Papers

Green Data Mining

2nd International Workshop on Energy Efficient Scalable Data Mining and Machine Learning
Co-located with ECML-PKDD 2019.
Conference Dates: September 16-20, 2019
Workshop Date: September 16, 2019 Würzburg, Germany
Website: greendatamining.github.io

Scope

This workshop aims to bring together people from different areas and backgrounds in data mining and machine learning that have a common interest in scalability, edge computing, and energy efficiency. These fields include, but are not limited to: deep learning, Internet of Things (IoT), scalable machine learning, systems for machine learning, information retrieval systems, and stream mining. The goal is to provide a venue where researchers with heterogeneous backgrounds can debate and discuss challenges related to building energy efficient machine learning algorithms, systems, and hardware platforms.

We accept original work, already completed, or in progress. Position papers and extended abstracts are also welcomed.
All accepted papers (except for extended abstracts) will be published in ECML-PKDD 2019 Workshop proceedings.

Topics

Topics of interest include, but are not limited to:

  • Scalable Machine Learning
  • Energy-efficient model training, and inference
  • Energy-efficient Data Mining
  • Domain-specific architectures for machine learning and/or data mining
  • Internet of Things (IoT) and/or embedded systems for machine learning
  • Edge computing
  • Energy and performance benchmarking and analysis
  • Energy Efficiency in Information Retrieval Systems
  • Machine learning Systems
  • Hardware accelerators for Deep Learning
  • Distributed data stream mining
  • Distributed algorithms for machine learning and data mining

Key Dates

  • Workshop paper submission deadline: Friday, June 7, 2019 Monday, July 1, 2019
  • Workshop paper acceptance notification: Friday, July 19, 2019
  • Workshop paper camera-ready deadline: Monday, July 26, 2019

All deadlines expire on 23:59 AOE (Anywhere On Earth).

Workshop Chairs

  • Eva García-Martín, Blekinge Institute of Technology
  • Albert Bifet, Telecom-ParisTech
  • Crefeda Faviola Rodrigues, University of Manchester
  • Heitor Murilo Gomes, Telecom-ParisTech

Steering Committee

  • Ricardo Baeza-Yates, NTENT
  • Christian Nordahl, Blekinge Institute of Technology
  • Veselka Boeva, Blekinge Institute of Technology
  • Elena Tsiporkova, Sirris (Collective Center for the Belgian technological industry)
  • Niklas Lavesson, Jönköping University
  • Håkan Grahn, Blekinge Institute of Technology
  • Emiliano Casalicchio, Sapienza University of Rome

Program Committee

Shahrooz Abghari, Ricardo Baeza-Yates, Albert Bifet, Veselka Boeva, Emiliano Casalicchio, Pierre Dagnely, Ana Freire, Eva García-Martín, Håkan Grahn, Niklas Lavesson, Nuno Moniz, Isabelle Moulinier, Heitor Murilo Gomes, Christian Nordahl, Crefeda Faviola Rodrigues, Elena Tsiporkova