Friday, February 13, 2015

[DMANET] CfP: Mathematical Problems in Engineering - Special Issue: Theory and Applications of Data Clustering

Call for Papers : Mathematical Problems in Engineering

Special Issue: Theory and Applications of Data Clustering

Data clustering aims at organizing a set of records into a set of groups
so that the overall similarity between the records within a group is
maximized while minimizing the similarity with the records in the other
groups. The data clustering is a state-of-the-art problem with increasing
number of applications. For decades, data clustering problems have been
identified in many applications and domains such as computer vision and
pattern recognition (e.g., video and image analysis for information
retrieval, object recognition, image segmentation, and point clustering),
networks (e.g., identification of web communities), databases and
computing (facing privacy in databases), statistical physics, and
mechanics (e.g., understanding phase transitions, vibration control, and
fracture identification using acoustic emission data).

Several definitions and validation measures of data clustering problem
have been used on different applications in engineering. For instance, the
goal of the classical clustering problem is to find the clusters that
optimize a predefined criterion while the goal of the micro aggregation
problem is to determine the clusters under the constraint of a given
minimum cluster size for masking micro data. This special issue is
particularly focused on fundamental and practical issues in data

Potential topics include, but are not limited to:

Clustering methods
Hierarchical and partitional clustering
Spectral clustering
Clustering validation measures
Estimation of the number of clusters
Statistical disclosure control, micro aggregation
Consensus clustering
Graph clustering
Trajectory and time series clustering
Datasets for clustering
Application oriented clustering problems

Authors can submit their manuscripts via the Manuscript Tracking System at

Manuscript Due Friday, 14 August 2015
First Round of Reviews Friday, 6 November 2015
Publication Date Friday, 1 January 2016

Lead Guest Editor

Costas Panagiotakis, Technological Educational Institute of Crete,
Agios Nikolaos, Greece

Guest Editors

Emmanuel Ramasso, National School of Engineering and Micro-Mechatronic
Systems (ENSMM), Besançon, France
Paraskevi Fragopoulou, Technological Educational Institute of Crete,
Heraklion, Greece
Daniel Aloise, Universidade Federal do Rio Grande do Norte, Natal, Brazil

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