PDCKDD 2015 : Workshop on Parallel and Distributed Computing for Knowledge Discovery in Data Bases
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 - http://www.liaad.up.pt/area/jgama/)
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
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.
LIAAD & INESCTEC and FEUP, University of Porto, Portugal
MDA & ICMC, University of Sao Paulo, Brazil
EMBL-EBI, Hixton, UK
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
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