Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/1757
Title: Applications of Big Data Analytics
Other Titles: Trends, Issues, and Challenges /
Authors: Alani, Mohammed M. ;;Tawfik, Hissam. ;;Saeed, Mohammed. ;;Anya, Obinna. ;
subject: Computer Science;Big data. ;;Computer Communication Systems;Algorithms;Information Storage and Retrieval;Pattern recognition. ;;Computer Science;Big Data. ;;Pattern Recognition. ;;Information Storage and Retrieval. ;;Computer Communication Networks;Algorithm Analysis and Problem Complexity. ;;Big Data/Analytics. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Abstract: This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research ee Almaden, San Jose, CA, USA. ;
Description: QA76



Printed edition: ; 9783319764719. ;

SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/1757
ISBN: 9783319764726 ;
9783319764719 (print) ;
More Information: XII, 214 p. 96 illus., 70 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

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Title: Applications of Big Data Analytics
Other Titles: Trends, Issues, and Challenges /
Authors: Alani, Mohammed M. ;;Tawfik, Hissam. ;;Saeed, Mohammed. ;;Anya, Obinna. ;
subject: Computer Science;Big data. ;;Computer Communication Systems;Algorithms;Information Storage and Retrieval;Pattern recognition. ;;Computer Science;Big Data. ;;Pattern Recognition. ;;Information Storage and Retrieval. ;;Computer Communication Networks;Algorithm Analysis and Problem Complexity. ;;Big Data/Analytics. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Abstract: This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research ee Almaden, San Jose, CA, USA. ;
Description: QA76



Printed edition: ; 9783319764719. ;

SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/1757
ISBN: 9783319764726 ;
9783319764719 (print) ;
More Information: XII, 214 p. 96 illus., 70 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319764719.pdf6.53 MBAdobe PDFThumbnail
Preview File
Title: Applications of Big Data Analytics
Other Titles: Trends, Issues, and Challenges /
Authors: Alani, Mohammed M. ;;Tawfik, Hissam. ;;Saeed, Mohammed. ;;Anya, Obinna. ;
subject: Computer Science;Big data. ;;Computer Communication Systems;Algorithms;Information Storage and Retrieval;Pattern recognition. ;;Computer Science;Big Data. ;;Pattern Recognition. ;;Information Storage and Retrieval. ;;Computer Communication Networks;Algorithm Analysis and Problem Complexity. ;;Big Data/Analytics. ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Abstract: This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research ee Almaden, San Jose, CA, USA. ;
Description: QA76



Printed edition: ; 9783319764719. ;

SpringerLink (Online service) ;

URI: http://localhost/handle/Hannan/1757
ISBN: 9783319764726 ;
9783319764719 (print) ;
More Information: XII, 214 p. 96 illus., 70 illus. in color. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319764719.pdf6.53 MBAdobe PDFThumbnail
Preview File