Big data analytics for cyber-physical systems : (Record no. 216532)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05502cam a2200469 i 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | N$T |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780128166468 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0128166460 |
| 245 00 - TITLE STATEMENT | |
| Title | Big data analytics for cyber-physical systems : |
| Sub title | machine learning for the Internet of Things / |
| Statement of responsibility, etc. | edited by Guido Dartmann, Houbing Song, Anke Schmeink. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 300 ## - DESCRIPTION | |
| Extent | 1 online resource (xxii, 373 pages) : |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Intro; Title page; Table of Contents; Copyright; Contributors; Foreword; Acknowledgments; Introduction; Chapter 1: Data analytics and processing platforms in CPS; Abstract; 1 Open source versus proprietary software; 2 Data types; 3 Easy data visualization using code; 4 Statistical measurements in CPS data; 5 Statistical methods, models, and techniques: Brief introduction; 6 Analytics and statistics versus ML techniques; 7 Data charts; 8 Machine logs analysis and dashboarding; 9 Conclusion; Chapter 2: Fundamentals of data analysis and statistics; Abstract; 1 Introduction |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 2 Useful software tools3 Fundamentals of statistics; 4 Regression: Fitting functional models to the data; 5 Minimizing redundancy: Factor analysis and principle component analysis; 6 Explore unknown data: Cluster analysis; 7 Conclusion; Chapter 3: Density-based clustering techniques for object detection and peak segmentation in expanding data fields; Abstract; 1 Introduction; 2 Related work; 3 A brief introduction to density-based clustering; 4 Formal extensions of density-based clustering; 5 Clustering strategy for time-expandable data sets; 6 Evaluation and results; 7 Conclusion |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 4: Security for a regional network platform in IoTAbstract; 1 Introduction; 2 Regional network security; 3 Proactive distributed authentication framework for a regional network; 4 Discussion; 5 Function implementations; 6 Network setup and performance evaluations; 7 Conclusions; Chapter 5: Inference techniques for ultrasonic parking lot occupancy sensing based on smart city infrastructure; Abstract; 1 Introduction; 2 Related work; 3 Fundamentals and background; 4 System setup and architecture; 5 Data annotation and trainging methodoloy; 6 Proposed method; 7 Evaluation and results |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 8 Conclusion and future workChapter 6: Portable implementations for heterogeneous hardware platforms in autonomous driving systems; Abstract; 1 Advanced driver-assistance systems; 2 Programming challenges; 3 Parallel programming approaches; 4 Unification; 5 Summary; Chapter 7: AI-based sensor platforms for the IoT in smart cities; Abstract; 1 Introduction; 2 Function units of an IoT sensor; 3 More than one sensor element; 4 The communication interface; 5 Embedded O/S requirements; 6 Artificial intelligence embedded; 7 Classification and regression using machine learning algorithms |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 8 Learning process required9 AI-based IoT sensor system; 10 Decentralized intelligence; 11 Conclusions; Chapter 8: Predicting energy consumption using machine learning; Abstract; Acknowledgments; 1 Introduction; 2 Data profiling; 3 Learning from data; 4 Related work; 5 Further thoughts; Chapter 9: Reinforcement learning and deep neural network for autonomous driving; Abstract; 1 Introduction; 2 Signal model; 3 Machine learning; 4 Simulation; 5 Conclusion and future work |
| 650 #0 - SUBJECT | |
| Keyword | Big data. |
| 650 #0 - SUBJECT | |
| Keyword | Discourse analysis, Narrative. |
| 650 #0 - SUBJECT | |
| Keyword | Truthfulness and falsehood. |
| 650 #0 - SUBJECT | |
| Keyword | Online social networks. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dartmann, Guido, |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Song, Houbing, |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Schmeink, Anke, |
| 856 40 - ONLINE RESOURCES | |
| url | https://www.sciencedirect.com/science/book/9780128166376 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| -- | https://id.oclc.org/worldcat/entity/E39PBJfRyKb4hF6rfgpWfbKyBP |
| 758 ## - | |
| -- | has work: |
| -- | Big data analytics for cyber-physical systems (Text) |
| -- | https://id.oclc.org/worldcat/entity/E39PCFCQRgMWyXWCHDbwVhJjBX |
| -- | https://id.oclc.org/worldcat/ontology/hasWork |
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