Internet of things and big data analytics toward next-generation intelligence, Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, Suresh Chandra Satapathy, editors

Resource Information

The instance Internet of things and big data analytics toward next-generation intelligence, Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, Suresh Chandra Satapathy, editors represents a material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool. This resource is a combination of several types including: Instance, Electronic.

Image

http://covers.openlibrary.org/b/isbn/9783319604350-M.jpg?default=false

Label

Internet of things and big data analytics toward next-generation intelligence, Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, Suresh Chandra Satapathy, editors

Statement of responsibility

Nilanjan Dey, Aboul Ella Hassanien, Chintan Bhatt, Amira S. Ashour, Suresh Chandra Satapathy, editors

Instantiates

• Internet of things and big data analytics toward next-generation intelligence

Publication

• Cham, Switzerland, Springer, 2018

Copyright

• ©2018

Bibliography note

Includes bibliographical references

Carrier category

online resource

Carrier category code

• cr

Carrier MARC source

rdacarrier

Content category

text

Content type code

• txt

Content type MARC source

rdacontent

Contents

• Preface; Contents; Internet of Things Based Sensor Networks; 1 Internet of Things Based Wireless Body Area Network in Healthcare; Abstract; 1 Introduction; 2 IoT Based WBAN for Healthcare Architecture; 2.1 Sensor Nodes; 2.2 Personal Server (Sink Node); 2.3 Medical Server; 2.4 WBAN Communication Architecture; 2.4.1 Intra-BAN Communications; 2.4.2 Inter-BAN Communication; Infrastructure Based Architecture; Ad Hoc Based Architecture; Inter-BAN Communication Technology; 2.4.3 Beyond-BAN Communication; 3 WBAN Topology; 4 Layers of WBAN; 4.1 Physical Layer; 4.2 MAC Layer; 5 WBAN Routing
• 5.1 Challenges of Routing in WBANs6 Security in WBANs; 7 WBAN Requirements in IEEE 802.15.6; 8 Challenges and Open Issues of WBANs; 9 Conclusion; References; 2 Mobile Sensor Networks and Robotics; Abstract; 1 Introduction; 2 Mobile Sensor Networks; 2.1 Coverage; 2.2 Localization; 3 Robotic Sensor Network Applications; 4 IoT Concept and Applications; 5 Coverage for Multi-Robots; 6 Localization for Robot; 7 Wireless Medical Sensor Network; 8 The Challenges in the MSN and Their Limitations; 9 Conclusion; Acknowledgements; References; Big Data Analytics
• 3 Big Data Analytics with Machine Learning ToolsAbstract; 1 Introduction; 1.1 Big Data Analytic Tools; 1.1.1 Big Data Analytic Tools; 1.1.2 Hewlett-Packard Enterprise (HPE) Big Data Platform; 1.1.3 SAP HANA Platform; 1.1.4 Microsoft Azure; 1.1.5 Oracle Big Data; 1.1.6 Other Big Data Platforms; 1.2 Machine Learning Tools for Big Data; 1.2.1 H2O; H2O Architecture and Features; H2O Algorithms; H2O Deployment and Application Example; 1.2.2 MLlib; Architecture and Features; MLlib Algorithms; MLlib Deployment and Application Example; 1.2.3 Comparative Analysis of Machine Learning Algorithms
• 1.3 Conclusions and DiscussionsReferences; 4 Real Time Big Data Analytics to Derive Actionable Intelligence in Enterprise Applications; Abstract; 1 Introduction; 2 Relationship Between the IoT and Big Data; 3 Big Data Analytics Architecture, Framework and Tools; 4 Motivation; 4.1 Data to Insight; 4.2 Shift from Data Management to Value Added Services; 5 Uses of Big Data in Industrial Environment; 5.1 Usecase #1: IoT (Internet of Things) in the Manufacturing Industry; 5.1.1 Connected devices; 5.1.2 Data Acquisition
• 5.2 Usecase #2: Data Analytics for Enterprise Business System in the Manufacturing Industry6 Challenges of Big Data Analytics; 6.1 Technology Shifts; 6.2 Data Visualization; 6.3 Heterogeneous and Imperfect Data; 6.4 Scalability; 6.5 Real Time Execution; 7 Conclusion; References; 5 Revealing Big Data Emerging Technology as Enabler of LMS Technologies Transferability; Abstract; 1 Introduction; 1.1 LMS Aspects; 1.1.1 Synchronous and Asynchronous Communication; 1.1.2 Benefits and Potentials of E-learning to the Students; 2 Literature Review; 3 Managing Change; 3.1 The Benefits

Control code

SPR1001327784

Dimensions

unknown

Extent

1 online resource.

Form of item

online

Isbn

9783319604350

Media category

computer

Media MARC source

rdamedia

Media type code

• c

Other control number

10.1007/978-3-319-60435-0

Record ID

b5166381

Specific material designation

remote

System control number

• on1001327784
• (OCoLC)1001327784