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Data Security, Data Mining and Data Management: Technologies and Challenges
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Editors: Serge O'Byrne
Book Description:
In this book, the authors discuss the new technologies and challenges of data security, data mining and data management. Topics include clustering algorithms in radiobiology and DNA damage quantification; data mining for searching genomic information; data management in the semantic web; and how fragile data security can be when the system architecture, authorization and validation is founded on a personal identification number (PIN). (Imprint: Novinka)

Table of Contents:

Clustering Algorithms in Radiobiology and DNA Damage Quantification
(Ziad Francis, Agnieszka Stypczynska, Université Saint Joseph, Beirut, Lebanon and others)

Data Mining for Genomic Information
(P.D. Freitas, C.A. Santos, Departamento de Genética e Evolução, Universidade Federal de São Carlos, São Carlos, SP, Brazil)

Data Management in the Semantic Web
(Lubos Matejicek, Institute for Environmental Studies, Charles University in Prague, Faculty of Natural Science, Prague, Czech Republic)

Nothing Happens Until it Happens
(Mads Ronald Dahl, Eivind Ortind Simonsen, Aarhus University, Center for Medical Education, Denmark)


      Computer Science, Technology and Applications
   Binding: Softcover
   Pub. Date: 2013 - 2nd Quarter
   Pages: 6x9 - (NBC-R)
   ISBN: 978-1-62417-582-4
   Status: AP
Status Code Description
AN Announcing
FM Formatting
PP Page Proofs
FP Final Production
EP Editorial Production
PR At Prepress
AP At Press
AV Available
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Data Security, Data Mining and Data Management: Technologies and Challenges