posted by organizer: evagarciamartin || 2510 views || tracked by 4 users: [display]

Green Data Mining 2018 : 1st International Workshop on Energy Efficient Data Mining and Knowledge Discovery

FacebookTwitterLinkedInGoogle

Link: https://greendatamining.github.io
 
When Sep 10, 2018 - Sep 14, 2018
Where Dublin, Ireland
Submission Deadline Jul 2, 2018
Notification Due Jul 23, 2018
Final Version Due Aug 6, 2018
Categories    machine learning   green computing   deep learning   hardware accelerators
 

Call For Papers

GREEN DATA MINING 2018
==============================

1st International workshop on Energy Efficient Data Mining and Knowledge Discovery

in conjunction with

ECML-PKDD 2018
The European Conference on Machine Learning and Practice of Knowledge Discovery
September 10-14, 2018 - Dublin, Ireland
Workshop date: September 10, 2018
http://www.ecmlpkdd2018.org/
==============================

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: Monday, July 2, 2018
Workshop paper acceptance notification: Monday, July 23, 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)

Related Resources

ICDM 2021   21th Industrial Conference on Data Mining
ICSRS--Scopus & EI Compendex 2021   2021 5th International Conference on System Reliability and Safety (ICSRS 2021)--Scopus & EI Compendex
MLDM 2021   17th International Conference on Machine Learning and Data Mining
CCBD--Ei & Scopus 2021   2021 The 8th International Conference on Cloud Computing and Big Data (CCBD 2021)--Ei Compendex & Scopus
SCOPUS-3CE 2021   2021 Asia Conference on Communications and Computer Engineering (3CE 2021)
Signal 2021   8th International Conference on Signal and Image Processing
ACM--CCIOT--EI, Scopus 2021   ACM--2021 6th International Conference on Cloud Computing and Internet of Things (CCIOT 2021)--Ei Compendex, Scopus
ACM--ICMLSC--EI Compendex, Scopus 2021   ACM--2021 The 5th International Conference on Machine Learning and Soft Computing (ICMLSC 2021)--EI Compendex, Scopus
BIOTC--ACM, Ei and Scopus 2021   ACM--2021 3rd Blockchain and Internet of Things Conference (BIOTC 2021)--Ei Compendex, Scopus
SCOPUS-CMVIT 2021   5th International Conference on Machine Vision and Information Technology (CMVIT 2021)