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PDCKDD 2015 : Workshop on Parallel and Distributed Computing for Knowledge Discovery in Data Bases


When Sep 7, 2015 - Sep 7, 2015
Where Porto, Portugal
Submission Deadline Jun 30, 2015
Notification Due Jul 13, 2015
Final Version Due Jul 27, 2015
Categories    KDD   data mining   parallel computing   distributed computing

Call For Papers

Workshop on Parallel and Distributed Computing for Knowledge Discovery in Databases

as part of ECML/PKDD 2015
To be held at Porto, Portugal, 7th September 2015

Invited talk by Joao Gama (LIAAD, UP -

The number of very large data repositories (big data) is increasing in a rapid pace. Analysis of such repositories requires, using the "traditional" sequential implementations of ML and statistical algorithms, expensive computational resources and long running times. Parallel or distributed computing is one possible approaches
that can make analysis of very large repositories feasible. Taking advantage of a parallel or a distributed execution a ML/statistical system may: i) increase its speed; ii) search a larger space and reach a better solution or; iii) increase the range of applications where it can be used (because it can process more data, for example). Parallel and distributed computing is therefore of high importance for Knowledge Discovery in Databases (KDD) practitioners.

The workshop will be concerned with the exchange of experience among researchers that use parallel or distributed computing within KDD. Researchers will present recently developed algorithms/systems, on going work and applications taking advantage of such parallel or distributed environments.

The topics of interest include (but are not restricted to) the following ones:

* New algorithms for parallel/distributed execution of ML systems
* Adapting ML systems to existing platforms for parallel/distributed computation
* Applications using parallel/distributed execution of ML systems
* Support Tools and Environments for development of KDD parallel applications
* GRID, cluster and Cloud for KDD
* Parallel and Distributed Data Management

Important Dates:

Paper submission deadline & Monday, June 30, 2015 (extended)
Paper acceptance notification & Monday, July 13, 2015
Paper camera-ready deadline & Monday July 27, 2015

Paper Submission Guidelines

The papers must be written in English and formatted according to the Springer LNAI guidelines. Author instructions, style files and copyright form can be downloaded at Information for Authors of Computer Science Publications

Papers must be submitted using the workshop CMT submission site . Submissions can be updated will until the submission deadline. The only accepted format for the papers is PDF.

Submissions are possible either as a full paper or as a short paper. Full papers should report new and finished work and can consist of a maximum of 16 pages. Short papers should report on initial and ongoing unfinished work and must have up to 4 pages. Full papers should present more advanced work, covering research or applications. Extended abstracts may present current, recently published or future research, and can cover a wider scope. For instance, they may be position statements, offer a specific scientific or business problem to be solved by the application of parallel or distributed computing to KDD or describe a demo or installation.

Each paper submission will be evaluated on the basis of relevance, significance of contribution, technical quality and quality of presentation, by at least three members of the program committee. All accepted submissions will be included in the workshop proceedings (as CEUR Workshop Proceedings). Electronic versions of accepted submissions will also be made publicly available on the workshop web site. At least one author of each accepted paper is required to register at the ECML/PKDD conference and attend the workshop to present the contribution.

The organizers of the workshop are organizing a special issue to be published in the Journal of Parallel and Distributed Computing with the same topic of the workshop and would like to encourage authors of papers accepted for the workshop to submit an extended version of their papers to the journal special issue.


Program Chairs:
Rui Camacho
LIAAD & INESCTEC and FEUP, University of Porto, Portugal

Andre Carvalho
MDA & ICMC, University of Sao Paulo, Brazil

Nuno Fonseca
EMBL-EBI, Hixton, UK

Program Committee:

Paolo Bientinesi RWTH Aachen, Germany
Albert Bifet The University of Waikato, New Zealand
Mario Cannataro, Informatics and Biomedical Engineering,
Department of Experimental and Clinical Medicine,
Faculty of Medicine, University "Magna Graecia" of
Catanzaro, Italy
Vitor Santos Costa CRACS, INESCTEC & FCUP, University of Porto, Portugal
Ines Dutra CRACS, INESCTEC & FCUP, University of Porto, Portugal
Joao Gama LIAAD, INESCTEC & FEP, University of Porto, Portugal
Fernando Silva CRACS & FCUP, Universidade do Porto, Portugal
Ashwin Srinivasan IIIT-Delhi
Domenico Talia Universita della Calabria, Italy
Joaquin Vanschoren Eindhoven University of Technology, The Netherlands

Related Resources

ECML-PKDD 2017   European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
HPDC 2017   The 26th International ACM Symposium on High-Performance Parallel and Distributed Computing
MLDM 2017   Machine Learning and Data Mining in Pattern Recognition
DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
KDD 2017   Knowledge Discovery and Data Mining
ParCo 2017   Parallel Computing Conference
CIKM 2017   The 26th 2017 ACM Conference on Information and Knowledge Management
IJAIA 2016   International Journal of Artificial Intelligence & Applications
IJE 2016   International Journal of Education