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All ebooks in the collection "Information Fusion and Data Science" - Springer


9  Book(s)
Download this eBook Relational Calculus for Actionable Knowledge
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Relational Calculus for Actionable Knowledge


Michel Barès , Éloi Bossé


This book focuses on one of the major challenges of the newly created scientific domain known as data science: turning data into actionable knowledge in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been...

Publication date: 2022-01-21
Format: PDF, ePub
Publisher: Springer
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£54,99
Download this eBook Predictive Maintenance in Smart Factories
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Predictive Maintenance in Smart Factories


Niamh O'mahony


This book presents the outcome of the European project "SERENA", involving fourteen partners as international academics, technological companies, and industrial factories, addressing the design and development of a plug-n-play end-to-end cloud architecture, and enabling...

Publication date: 2021-08-26
Format: PDF, ePub
Publisher: Springer
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£59,99
Download this eBook Feature Learning and Understanding
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Feature Learning and Understanding


Zhihui Lai , Henry Leung , Xianyi Zhang , Haitao Zhao


This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the...

Publication date: 2020-04-03
Format: PDF, ePub
Publisher: Springer
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£119,50
Download this eBook Data Analytics for Drilling Engineering
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Data Analytics for Drilling Engineering


Qilong Xue


This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as...

Publication date: 2019-12-30
Format: PDF, ePub
Publisher: Springer
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£149,50
Download this eBook Possibility Theory for the Design of Information Fusion Systems
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Possibility Theory for the Design of Information Fusion Systems


Éloi Bossé , Basel Solaiman


This practical guidebook describes the basic concepts, the mathematical developments, and the engineering methodologies for exploiting possibility theory for the computer-based design of an information fusion system where the goal is decision support for industries in...

Publication date: 2019-12-26
Format: PDF, ePub
Publisher: Springer
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£139,99
Download this eBook Mobile Data Mining and Applications
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Mobile Data Mining and Applications


Qimei Chen , Hao Jiang , Deshi Li , Yuanyuan Zeng


This book focuses on mobile data and its applications in the wireless networks of the future. Several topics form the basis of discussion, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of...

Publication date: 2019-05-10
Format: PDF, ePub
Publisher: Springer
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£109,50
Download this eBook Information Quality in Information Fusion and Decision Making
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Information Quality in Information Fusion and Decision Making


Éloi Bossé , Galina L. Rogova


This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems...

Publication date: 2019-04-02
Format: PDF, ePub
Publisher: Springer
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£139,50
Download this eBook Data-Driven Prediction for Industrial Processes and Their Applications
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Data-Driven Prediction for Industrial Processes and Their Applications


Chunyang Sheng , Wei Wang , Jun Zhao


This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies. Related case studies, especially on energy systems in the steel industry are also...

Publication date: 2018-08-20
Format: PDF, ePub
Publisher: Springer
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£109,50
Download this eBook Non-Cooperative Target Tracking, Fusion and Control
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Non-Cooperative Target Tracking, Fusion and Control


Peng Dong , Zhongliang Jing , Yuankai Li , Han Pan


This book gives a concise and comprehensive overview of non-cooperative target tracking, fusion and control. Focusing on algorithms rather than theories for non-cooperative targets including air and space-borne targets, this work explores a number of advanced...

Publication date: 2018-06-25
Format: PDF, ePub
Publisher: Springer
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£159,50

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