jpdc 2011 - Journal Parallel and Distributed Computing Special Issue on "Models and Algorithms for High-Performance Distributed Data Mining"

Journal Parallel and Distributed Computing
(http://www.elsevier.com/locate/jpdc/), Elsevier (http://www.elsevier.com),
Special Issue on "Models and Algorithms for

High-Performance Distributed Data Mining"
(http://si.deis.unical.it/cuzzocrea/JPDC2011/).

Chair



Alfredo Cuzzocrea (http://si.deis.unical.it/cuzzocrea/), ICAR-CNR and
University of Calabria, Italy

Aim and Scope



Distributed Data Mining is well-understood as a resource-intensive and
time-consuming task which is devoted to extract patterns and regularities
from huge amounts of distributed data sets. Classical algorithms, mostly
developed in the context of centralized environments, have already been
proved to be unsuitable to the goal of mining data in distributed settings.
This not only due to conceptual and methodological drawbacks but, most
importantly, to novel challenges posed by a distributed, resource-intensive,
and time-consuming processing as dictated by high-level specifications of
distributed Data Mining algorithms.

From these challenges, performance aspects of Distributed Data Mining is now
recognized as one of the most attracting topics for the Data Mining research
community, even with respect to next-generation computational platforms
(e.g., Clouds, Grids, SOA Architectures) and paradigms (e.g., Peer-to-Peer,
Map-Reduce, Service-Oriented Computing). Emerging application scenarios like
Social Networks play as well the role of interesting contexts that may
stimulate further investigation in this field.

In Distributed Data Mining models and algorithms, high-performance is not
only an architecture-and-resource--oriented matter, but also it involves in
designing innovative models, algorithms and techniques capable of dealing,
from a side, with the difficulties posed by so-challenging distributed
environments and, from the other side, with the conceptual Data Mining tasks
codified within Distributed Data Mining algorithms, which may turn to be
inherently hard.

With these goals in mind, the special issue "Models and Algorithms for
High-Performance Distributed Data Mining" of JPDC will cover theoretical as
well as practical aspects of high-performance Data Mining in distribute
environments, with emphasis on both sophisticated
theoretical-models-and-methodologies and pragmatic algorithms.

Topics of interest for the special issue include but are not limited to the
following list:

- foundations of high-performance distributed data mining;

- high-performance distributed data mining models;

- high-performance distributed data mining methodologies;

- high-performance distributed data mining techniques;

- high-performance distributed data mining algorithms;

- scalable disk-based models for high-performance distributed data mining;

- scalable disk-based algorithms for high-performance distributed data
mining;

- multi-core models for high-performance distributed data mining;

- multi-core algorithms for high-performance distributed data mining;

- cluster-based models for high-performance distributed data mining;

- cluster-based algorithms for high-performance distributed data mining;

- grid-based models for high-performance distributed data mining;

- grid-based algorithms for high-performance distributed data mining;

- cloud-based models for high-performance distributed data mining;

- cloud-based algorithms for high-performance distributed data mining;

- SOA-based models for high-performance distributed data mining;

- SOA-based algorithms for high-performance distributed data mining;

- P2P-oriented high-performance distributed data mining;

- Map-Reduce-based high-performance distributed data mining;

- Service-oriented high-performance distributed data mining;

- high-performance distributed data mining in innovative contexts like
streams, sensors, mobile environments and social networks.

Schedule



Submission of full papers: March 30, 2011

First decision notification: May 30, 2011

Submission of revised papers: July 15, 2011

Final decision notification: September 30, 2011

Final materials to Elsevier: November 30, 2011

Estimated publication date: 2012

Submission Guidelines and Instructions



All manuscripts will be rigorously refereed by at least three reviewers
among people of widely-recognized expertise. Submission of a manuscript to
this special issue implies that no similar paper is already accepted or will
be submitted to any other conference or journal.

Author guidelines for preparation of manuscript can be found at:
www.elsevier.com/locate/jpdc/

All manuscripts and any supplementary material should be submitted through
Elsevier Editorial System (EES). Authors must select "Special Issue: Dist.
Dat. Min." when they reach the "Article Type" step in the submission
process. The EES Web site for JPDC is available at:
http://ees.elsevier.com/jpdc/

For more information and any inquire, please contact Alfredo Cuzzocrea
(http://si.deis.unical.it/~cuzzocrea/) at cuzzocrea-AT-si.deis.unical.it