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

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Category JPDC 2011

Deadline: March 30, 2011 | Date: November 30, 2011

Venue/Country: CALL FOR PAPERS, U.S.A

Updated: 2011-02-26 21:27:11 (GMT+9)

Call For Papers - CFP

(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 cuzzocreasi.deis.unical.it