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International Journal of Data Mining, Modelling and Management
International Journal of Data Mining, Modelling and Management


Special Issue on: "Data Mining in Biomedicine"

Guest Editors: Dr. Juan R. Rabuñal, Dr. Julián Dorado, Dr. Alejandro Pazos, University of A Coruña, Spain

Data mining can be defined as the set of computational techniques that, given a complex problem, allow the transformation of the original data into information which can be easily assimilated. For this purpose, a series of techniques can be applied, such as data transformation (calculus), classification (contextualisation or categorisation), cluster analysis (categorisation), anomaly detection (correction), etc. These techniques allow understanding the data more easily (condensing or summarising the data).

One of the fields in which data mining is mostly being applied is biomedicine. Since the sequencing of the human genome in 2001, a large amount of data has been generated, this amount being increased every day. The improvements made in the existing technology (such as genome-wide association studies (GWAS), microarrays, mass spectrometry, etc.) generate a large amount of data from different organisms at different levels, starting from genomic or proteomic levels to epidemiological levels. The analysis of this data requires a change of paradigm. Thus, new computational data mining techniques are essential to analyse at a full extent all of these new information sources.

In this special issue, efforts in data mining in the biomedical field will be published as an attempt to approach this field from different perspectives. Thus, the papers contained in this special issue will be a representation of the latest data mining techniques or of the application of previously existing techniques to this field.

We welcome theoretical, empirical papers, and interesting case studies that are within the scope of this issue. The issue will contain invited papers and papers submitted directly as per instruction below. If the number of accepted papers is more than the need of the special issue, they could appear in a regular IJDMMM issue.

Subject Coverage
Topics of interest include, but are not limited to:
  • Intelligent information systems
  • Knowledge representation, visualization and integration
  • Knowledge discovery and data mining
  • Association studies
  • Image analysis

Notes for Prospective Authors

Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere.

All papers are refereed through a peer review process. A guide for authors, sample copies and other relevant information for submitting papers are available on the Author Guidelines page

Important Dates

Submission due date of full paper: 2 May, 2011

Feedback from referees: 1 June, 2011

Submission due date of revised paper: 4 July, 2011

Notification of acceptance: 15 July, 2011

Submission of final revised paper: 30 July, 2011