Hamid R. Arabnia's Books

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Systems and Applications

By: Hamid R Arabnia,Quoc Nam Tran

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Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Systems and Applications

By: Hamid R Arabnia,Quoc Nam Tran

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications covers the latest trends in the field with special emphasis on their applications. The first part covers the major areas of computational biology, development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques for the study of biological and behavioral systems. The second part covers bioinformatics, an interdisciplinary field concerned with methods for storing, retrieving, organizing, and analyzing biological data. The book also explores the software tools used to generate useful biological knowledge. The third part, on systems biology, explores how to obtain, integrate, and analyze complex datasets from multiple experimental sources using interdisciplinary tools and techniques, with the final section focusing on big data and the collection of datasets so large and complex that it becomes difficult to process using conventional database management systems or traditional data processing applications. Explores all the latest advances in this fast-developing field from an applied perspective Provides the only coherent and comprehensive treatment of the subject available Covers the algorithm development, software design, and database applications that have been developed to foster research

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Page Count

594

Publisher

Morgan Kaufmann

Published Date

ISBN 10

0128042591

ISBN 13

9780128042595

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

Algorithms and Software Tools

By: Hamid R Arabnia,Quoc Nam Tran

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Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

Algorithms and Software Tools

By: Hamid R Arabnia,Quoc Nam Tran

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology discusses the latest developments in all aspects of computational biology, bioinformatics, and systems biology and the application of data-analytics and algorithms, mathematical modeling, and simu- lation techniques. • Discusses the development and application of data-analytical and theoretical methods, mathematical modeling, and computational simulation techniques to the study of biological and behavioral systems, including applications in cancer research, computational intelligence and drug design, high-performance computing, and biology, as well as cloud and grid computing for the storage and access of big data sets. • Presents a systematic approach for storing, retrieving, organizing, and analyzing biological data using software tools with applications to general principles of DNA/RNA structure, bioinformatics and applications, genomes, protein structure, and modeling and classification, as well as microarray analysis. • Provides a systems biology perspective, including general guidelines and techniques for obtaining, integrating, and analyzing complex data sets from multiple experimental sources using computational tools and software. Topics covered include phenomics, genomics, epigenomics/epigenetics, metabolomics, cell cycle and checkpoint control, and systems biology and vaccination research. • Explains how to effectively harness the power of Big Data tools when data sets are so large and complex that it is difficult to process them using conventional database management systems or traditional data processing applications. - Discusses the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological and behavioral systems. - Presents a systematic approach for storing, retrieving, organizing and analyzing biological data using software tools with applications. - Provides a systems biology perspective including general guidelines and techniques for obtaining, integrating and analyzing complex data sets from multiple experimental sources using computational tools and software.

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Page Count

670

Publisher

Morgan Kaufmann

Published Date

ISBN 10

0128026464

ISBN 13

9780128026465

Application of Big Data for National Security

A Practitioner's Guide to Emerging Technologies

By: Babak Akhgar,Gregory B. Saathoff,Hamid R Arabnia,Richard Hill,Andrew Staniforth,Petra Saskia Bayerl

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Application of Big Data for National Security

A Practitioner's Guide to Emerging Technologies

By: Babak Akhgar,Gregory B. Saathoff,Hamid R Arabnia,Richard Hill,Andrew Staniforth,Petra Saskia Bayerl

Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security - Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention - Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime - Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context - Indicates future directions for Big Data as an enabler of advanced crime prevention and detection

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Page Count

317

Publisher

Butterworth-Heinemann

Published Date

ISBN 10

0128019735

ISBN 13

9780128019733

Emerging Trends in ICT Security

Chapter 7. Security Projects for Systems and Networking Professionals

By: Leonidas Deligiannidis,Charlie Wiseman,Mira Yun,Hamid R. Arabnia

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Emerging Trends in ICT Security

Chapter 7. Security Projects for Systems and Networking Professionals

By: Leonidas Deligiannidis,Charlie Wiseman,Mira Yun,Hamid R. Arabnia

Every day, people interact with numerous computer systems, networks, and services that require the exchange of sensitive data. However, the Internet is a highly distributed system operated by many different entities and as such should not be trusted by end users. Users, whether consumers or businesses, retain no control over how their information is routed among the many networks that comprise the Internet. Therefore, there is a strong need for cryptographic protocols to authenticate, verify trust, and establish a secure channel for exchanging data. This chapter presents a series of projects and demonstrations for systems and networking professionals who want to increase their comprehension of security concepts and protocols. The material presented here is derived from existing courses taught by the authors in the areas of cryptography, network security, and wireless security.

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Elsevier Inc. Chapters

Published Date

ISBN 10

0128070641

ISBN 13

9780128070642

Book's by Hamid R. Arabnia

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Applications and Infrastructures for Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology

Application of Big Data for National Security

Application of Big Data for National Security

Emerging Trends in ICT Security

Emerging Trends in ICT Security

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