Call For Papers

Green Data Mining

1st International Workshop on Energy Efficient Data Mining and Knowledge Discovery
Co-located with ECML-PKDD.
Conference Dates: September 10-14, 2018 Workshop Date: September 14, 2018 Dublin, Ireland
Website: greendatamining.github.io

Scope

This workshop aims to bring together people from many different fields in machine learning and data mining that have a common interest in energy efficiency, energy aware computing, hardware accelerators, and embedded systems. These fields include, but are not limited to: deep learning, big data, Internet of Things (IoT), large-scale computing, stream mining, and distributed machine learning. The goal is to provide a venue for researchers to present their work, exchange ideas, and discuss challenges related to energy efficiency in machine learning, data mining, and supporting hardware platforms, and algorithms. We accept original work, already completed, or in progress. Position papers are also welcomed.

Topics

Topics of interest include, but are not limited to:

  • Energy-efficient deep learning
  • Energy-efficient data mining
  • Energy-efficient machine learning
  • Energy-efficient hardware
  • Domain-specific architectures for data mining and/or machine learning
  • Hardware accelerators for deep learning
  • Energy-efficient deep learning
  • Green Machine Learning
  • Energy-efficient data centers
  • Energy-aware computing
  • Energy-efficient Big Data platforms
  • Internet of Things (IoT) and/or embedded systems for machine learning
  • Large-scale computing
  • Scalable algorithms
  • Energy-efficient stream mining
  • Distributed data stream mining
  • Distributed algorithms for machine learning and data mining

Key Dates

  • Workshop paper submission deadline: July 2, 2018 Thursday July 12, 2018
  • Workshop paper acceptance notification: Monday, July 30, 2018
  • Workshop paper camera-ready deadline: Monday, August 6, 2018.

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

Workshop Chairs

  • Eva García-Martín, Blekinge Institute of Technology
  • Albert Bifet, Telecom-ParisTech
  • Niklas Lavesson, Jönköping University

Steering Committee

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