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Big Data Analytics In The Social And Ubiquitous Context
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Book Synopsis Big Data Analytics in the Social and Ubiquitous Context by : Martin Atzmueller
Download or read book Big Data Analytics in the Social and Ubiquitous Context written by Martin Atzmueller and published by Springer. This book was released on 2016-01-06 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 9 papers presented in this book are revised and significantly extended versions of papers submitted to three related workshops: The 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and the First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, which were held on September 15, 2014, in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2014) in Nancy, France; and the 5th International Workshop on Modeling Social Media (MSM 2014) that was held on April 8, 2014 in conjunction with ACM WWW in Seoul, Korea.
Book Synopsis Big Data Analytics for Cyber-Physical System in Smart City by : Mohammed Atiquzzaman
Download or read book Big Data Analytics for Cyber-Physical System in Smart City written by Mohammed Atiquzzaman and published by Springer Nature. This book was released on 2020-01-11 with total page 2049 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
Book Synopsis Rethinking Political Risk by : Cecilia Emma Sottilotta
Download or read book Rethinking Political Risk written by Cecilia Emma Sottilotta and published by Routledge. This book was released on 2016-10-14 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Political risk was first introduced as a component for assessing risk not directly linked to economic factors following the flow of capital from the US to Europe after the Second World War. However, the concept has rapidly gained relevance since, with both public and private institutions developing complex methodologies designed to evaluate political risk factors and keep pace with the internationalization of trade and investment. Continued global and regional economic and political instability means a plethora of different actors today conduct a diverse range of political risk analyses and assessments. Starting from the epistemological foundations of political risk, this books bridges the gap between theory and practice, exploring operationalization and measurement issues with the support of an empirical case study on the Arab uprisings, discussing the role of expert judgment in political forecasting, and highlighting the main challenges and opportunities political risk analysts face in the wake of the digital revolution.
Download or read book Edge Analytics written by Ripon Patgiri and published by Springer Nature. This book was released on 2022-04-03 with total page 720 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes refereed proceedings of the 26th annual International Conference on Advanced Computing and Communications (ADCOM 2020). ADCOM, the flagship Systems Conference of the ACCS, is a major annual international meeting that draws leading scientists and researchers in computational and communications engineering from across industry and academia. The proceedings highlight the growing importance of large-scale systems engineering and discuss leading-edge research and trends. The main theme of ADCOM 2020 is Edge Analytics. The book includes novel contributions and latest developments from researchers across industry and academia who are working in security, privacy, and data analytics from both technological and social perspectives. The book serves as a valuable reference resource for academics and researchers across the globe.
Book Synopsis Creating Personal, Social, and Urban Awareness through Pervasive Computing by : Guo, Bin
Download or read book Creating Personal, Social, and Urban Awareness through Pervasive Computing written by Guo, Bin and published by IGI Global. This book was released on 2013-10-31 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent emergence and prevalence of social network applications, sensor equipped mobile devices, and the availability of large amounts of geo-referenced data have enabled the analysis of new context dimensions that involve individual, social, and urban context. Creating Personal, Social, and Urban Awareness through Pervasive Computing provides an overview of the theories, techniques, and practical applications related to the three dimensions of context awareness. Through the exploration of emerging research trends of pervasive computing, this book is beneficial to professors, students, researchers, and developers interested this latest development in the field of context-awareness and pervasive computing.
Book Synopsis Big Data Analytics for Sensor-Network Collected Intelligence by : Hui-Huang Hsu
Download or read book Big Data Analytics for Sensor-Network Collected Intelligence written by Hui-Huang Hsu and published by Morgan Kaufmann. This book was released on 2017-02-02 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS Contains contributions from noted scholars in computer science and electrical engineering from around the globe Provides a broad overview of recent developments in sensor collected intelligence Edited by a team comprised of leading thinkers in big data analytics
Book Synopsis Autonomous Driving Perception by : Rui Fan
Download or read book Autonomous Driving Perception written by Rui Fan and published by Springer Nature. This book was released on 2023-10-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.
Book Synopsis Sustainable Smart Cities by : Pradeep Kumar Singh
Download or read book Sustainable Smart Cities written by Pradeep Kumar Singh and published by Springer Nature. This book was released on 2022-11-02 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings the recent collection of smart technologies. Smart cities challenges and key requirements are discussed through the technological solutions, IoT, cloud computing, block chain and artificial intelligence. Firstly, the key technologies contributing to the smart cities research are identified. Then, the most popular ones are covered in context to their theoretical and practical applications. Smart cities technologies are one of the recent research areas. Every day new technological solutions are coming to make smart cities more sustainable. The book explores the integration of main key technologies for smart cities which are IoT & cloud computing, data science, AI and block chain & Industry 4.0. Moreover, some integrated solutions using AI, data science and IoT will attract the attention of end users. Primary market of the book is aimed toward the undergraduate and master students. IoT, cloud computing, artificial intelligence and block chain are elective courses at the bachelor level in the engineering domain, and its application areas in context to smart cities are covered in this book. The book is a good source of reference for their master dissertations. Ph.D. students or scholars who are working on these key technologies like IoT & cloud, AI, data science, block chain & Industry 4.0 will find this book as a constant source of reference for their ongoing research. Smart city planners, architects and municipal experts may also find this book useful.
Book Synopsis Machine Learning and Data Mining for Sports Analytics by : Ulf Brefeld
Download or read book Machine Learning and Data Mining for Sports Analytics written by Ulf Brefeld and published by Springer Nature. This book was released on 2020-12-09 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.
Book Synopsis eWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2016 by : Symeon Christodoulou
Download or read book eWork and eBusiness in Architecture, Engineering and Construction: ECPPM 2016 written by Symeon Christodoulou and published by CRC Press. This book was released on 2017-03-27 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: eWork and eBusiness in Architecture, Engineering and Construction 2016 collects the papers presented at the 11th European Conference on Product & Process Modelling (ECPPM 2016, Cyprus, 7-9 September 2016), The contributions cover complementary thematic areas that hold great promise for the advancement of research and technological development in the modelling of complex engineering systems, encompassing a substantial number of high quality contributions on a large spectrum of topics pertaining to ICT deployment instances in AEC/FM, including: • Information and Knowledge Management • Construction Management • Description Logics and Ontology Application in AEC • Risk Management • 5D/nD Modelling, Simulation and Augmented Reality • Infrastructure Condition Assessment • Standardization of Data Structures • Regulatory and Legal Aspects • Multi-Model and distributed Data Management • System Identification • Industrialized Production, Smart Products and Services • Interoperability • Smart Cities • Sustainable Buildings and Urban Environments • Collaboration and Teamwork • BIM Implementation and Deployment • Building Performance Simulation • Intelligent Catalogues and Services
Book Synopsis Advanced Computing Strategies for Engineering by : Ian F. C. Smith
Download or read book Advanced Computing Strategies for Engineering written by Ian F. C. Smith and published by Springer. This book was released on 2018-06-09 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: This double volume set ( LNAI 10863-10864) constitutes the refereed proceedings of the 25th International Workshop, EG-ICE 2018, held in Lausanne, Switzerland, in June 2018. The 58 papers presented in this volume were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on Advanced Computing in Engineering, Computer Supported Construction Management, Life-Cycle Design Support, Monitoring and Control Algorithms in Engineering, and BIM and Engineering Ontologies.
Book Synopsis Social Big Data Analytics by : Bilal Abu-Salih
Download or read book Social Big Data Analytics written by Bilal Abu-Salih and published by Springer Nature. This book was released on 2021-03-10 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on data and how modern business firms use social data, specifically Online Social Networks (OSNs) incorporated as part of the infrastructure for a number of emerging applications such as personalized recommendation systems, opinion analysis, expertise retrieval, and computational advertising. This book identifies how in such applications, social data offers a plethora of benefits to enhance the decision making process. This book highlights that business intelligence applications are more focused on structured data; however, in order to understand and analyse the social big data, there is a need to aggregate data from various sources and to present it in a plausible format. Big Social Data (BSD) exhibit all the typical properties of big data: wide physical distribution, diversity of formats, non-standard data models, independently-managed and heterogeneous semantics but even further valuable with marketing opportunities. The book provides a review of the current state-of-the-art approaches for big social data analytics as well as to present dissimilar methods to infer value from social data. The book further examines several areas of research that benefits from the propagation of the social data. In particular, the book presents various technical approaches that produce data analytics capable of handling big data features and effective in filtering out unsolicited data and inferring a value. These approaches comprise advanced technical solutions able to capture huge amounts of generated data, scrutinise the collected data to eliminate unwanted data, measure the quality of the inferred data, and transform the amended data for further data analysis. Furthermore, the book presents solutions to derive knowledge and sentiments from BSD and to provide social data classification and prediction. The approaches in this book also incorporate several technologies such as semantic discovery, sentiment analysis, affective computing and machine learning. This book has additional special feature enriched with numerous illustrations such as tables, graphs and charts incorporating advanced visualisation tools in accessible an attractive display.
Book Synopsis Science and Technologies for Smart Cities by : Henrique Santos
Download or read book Science and Technologies for Smart Cities written by Henrique Santos and published by Springer Nature. This book was released on 2020-07-27 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th Annual Smart City 360° Summit, held in Braga, Portugal, in December 2019. The volume combines selected papers of four conferences, namely IoT in Urban Space, Urb-IoT 2019, Smart Governance for Sustainable Smart Cities, SmartGov 2019, Sensor Systems and Software, S-Cube 2019, and Intelligent Technologies for Interactive Entertainment, Intetain 2019. The 5 keynote and 32 conference papers presented were carefully reviewed and selected from 113 submissions and present results of multidisciplinary scientific and industry collaboration to solve complex societal, technological and economic problems Smart Cities. As such, the main goals are to promote quality of life, work conditions, mobility and sustainability.
Book Synopsis Behavioral Analytics in Social and Ubiquitous Environments by : Martin Atzmueller
Download or read book Behavioral Analytics in Social and Ubiquitous Environments written by Martin Atzmueller and published by Springer Nature. This book was released on 2019-11-18 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 7 papers presented in this book are revised and significantly extended versions of papers submitted to three related workshops: 6th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2015, held in Porto, Portugal, September 2015, in conjunction with the 6th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2015; 6th International Workshop on Modeling Social Media, MSM 2015, held in Florence, Italy, May 2015, in conjunction with the 24th International World Wide Web Conference, WWW 2015; 7th International Workshop on Modeling Social Media, MSM 2016, Montreal, QC, Canada, April 2016, in conjunction with the 25th International World Wide Web Conference, WWW 2016.
Book Synopsis Big Data Science and Analytics for Smart Sustainable Urbanism by : Simon Elias Bibri
Download or read book Big Data Science and Analytics for Smart Sustainable Urbanism written by Simon Elias Bibri and published by Springer. This book was released on 2019-05-30 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are living at the dawn of what has been termed ‘the fourth paradigm of science,’ a scientific revolution that is marked by both the emergence of big data science and analytics, and by the increasing adoption of the underlying technologies in scientific and scholarly research practices. Everything about science development or knowledge production is fundamentally changing thanks to the ever-increasing deluge of data. This is the primary fuel of the new age, which powerful computational processes or analytics algorithms are using to generate valuable knowledge for enhanced decision-making, and deep insights pertaining to a wide variety of practical uses and applications. This book addresses the complex interplay of the scientific, technological, and social dimensions of the city, and what it entails in terms of the systemic implications for smart sustainable urbanism. In concrete terms, it explores the interdisciplinary and transdisciplinary field of smart sustainable urbanism and the unprecedented paradigmatic shifts and practical advances it is undergoing in light of big data science and analytics. This new era of science and technology embodies an unprecedentedly transformative and constitutive power—manifested not only in the form of revolutionizing science and transforming knowledge, but also in advancing social practices, producing new discourses, catalyzing major shifts, and fostering societal transitions. Of particular relevance, it is instigating a massive change in the way both smart cities and sustainable cities are studied and understood, and in how they are planned, designed, operated, managed, and governed in the face of urbanization. This relates to what has been dubbed data-driven smart sustainable urbanism, an emerging approach based on a computational understanding of city systems and processes that reduces urban life to logical and algorithmic rules and procedures, while also harnessing urban big data to provide a more holistic and integrated view or synoptic intelligence of the city. This is increasingly being directed towards improving, advancing, and maintaining the contribution of both sustainable cities and smart cities to the goals of sustainable development. This timely and multifaceted book is aimed at a broad readership. As such, it will appeal to urban scientists, data scientists, urbanists, planners, engineers, designers, policymakers, philosophers of science, and futurists, as well as all readers interested in an overview of the pivotal role of big data science and analytics in advancing every academic discipline and social practice concerned with data–intensive science and its application, particularly in relation to sustainability.
Book Synopsis Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors by : Masino, Johannes
Download or read book Road Condition Estimation with Data Mining Methods using Vehicle Based Sensors written by Masino, Johannes and published by KIT Scientific Publishing. This book was released on 2021-03-31 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: The work provides novel methods to process inertial sensor and acoustic sensor data for road condition estimation and monitoring with application in vehicles, which serve as sensor platforms. Furthermore, methods are introduced to combine the results from various vehicles for a more reliable estimation.
Book Synopsis Enterprise Big Data Engineering, Analytics, and Management by : Atzmueller, Martin
Download or read book Enterprise Big Data Engineering, Analytics, and Management written by Atzmueller, Martin and published by IGI Global. This book was released on 2016-06-01 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.
