Advances in Intelligent Data Mining

  • Dawn E. Holmes
  • Jeffrey W. Tweedale
  • Lakhmi C. Jain
Part of the Intelligent Systems Reference Library book series (ISRL, volume 25)


The human body is composed of eleven sub-systems. These include the: respiratory, digestive, muscular, immune, circulatory, digestive, skeletal, endocrine, urinary, integumentary and reproductive systems [1]. Science shows how complex systems interoperate and have even mapped the human genome. This knowledge resulted through the exploitation of significant volumes of empirical data. The size of medical databases are many orders of magnitude those of text and transactional repositories. Acquisition, storage and exploitation of this data requires a disparate approach due to the modes and methods of representing what is being captured. This is significantly important in the medical field. As we transition from paper or film capture across to digital repositories, the challenges grow exponentially. The technological challenges compel the industry to undergo a paradigm shift that has resulted from the volume and bandwidth demanded of radiological imaging. Again, society is demanding instant access and analysis of diagnostic equipment to enable timely management of medical conditions or treatment. Such treatment also requires access to patient records, regardless of their source or location. This book examines recent developments in Medical, Health, Social and Biological applications.


Data Mining Credit Risk Data Mining Technique Digital Repository Intelligent Decision Support System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Dawn E. Holmes
    • 1
  • Jeffrey W. Tweedale
    • 2
  • Lakhmi C. Jain
    • 3
  1. 1.Department of Statistics and Applied ProbabilityUniversity of California Santa BarbaraSanta BarbaraUSA
  2. 2.Defence Science and Technology OrganisationEdinburghAustralia
  3. 3.School of Electrical and Information EngineeringUniversity of South AustraliaAdelaideAustralia

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