Springer, 2021. — 226 p. — ISBN 9813366527. 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...
Springer International Publishing AG, part of Springer Nature, 2018. — 219 p. — ISBN: 978-3319764719. 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,...
Springer, 2021. — 392 p. — ISBN 978-3-030-73056-7. This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance,...
Springer Cham, 2022. — 431 p. — (Springer Series in the Data Sciences). — eBook ISBN 978-3-031-06784-6. This book presents a variety of advanced statistical methods at a level suitable for advanced undergraduate and graduate students as well as for others interested in familiarizing themselves with these important subjects. It proceeds to illustrate these methods in the context...
Elsevier, 2018. — 464 p. — ISBN: 978-0-12-811968-6. This book brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and...
Springer, 2018. — 197 p. — ISBN: 978-3319633596. This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure components for processing big data microscopy experiments are presented to...
Springer, 2018. — 500 p. — ISBN: 9811314012. The book presents the latest, high-quality, technical contributions and research findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for...
Packt Publishing, 2017. — 228 p. — ISBN: 1788392655. Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform Key Features Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate...
2nd edition. — Packt Publishing, 2019. — 566 p. — ISBN 978-1-78712-132-4. Create innovative informatics solutions with TIBCO Spotfire Key Features Get to grips with a variety of TIBCO Spotfire features to create professional applications Use different data and visualization techniques to build interactive analyses. Simplify BI processes and understand data analysis and...
2nd Edition. — BPB Publications, 2024. — 548 p. — ISBN 978-93-55516-664. Большие данные и Hadoop: основы, инструменты и методы достижения успеха на основе данных In today's data-driven world, harnessing the power of big data is no longer a luxury, but a necessity. This comprehensive guide, "Big Data and Hadoop," dives deep into the world of big data and equips you with the...
Wiley, 2024. — 432 p. — ISBN 9781394258727. Unlock the Power of data: Transform Your Marketing Strategies with Data Science. In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data...
John Wiley and Sons, Inc., 2024. — 320 р. — ISBN 978-1119800996. A step-by-step guide for business leaders who need to manage successful big data projects Leading in Analytics: The Critical Tasks for Executives to Master in the Age of Big Data takes you through the entire process of guiding an analytics initiative from inception to execution. You'll learn which aspects of the...
John Wiley & Sons, Inc., 2024. — 816 p. — ISBN 978-1-119-86337-3. An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data...
Icon Books, 2017. — 176 p. — ISBN 9781785782343. Is the Brexit vote successful big data politics or the end of democracy? Why do airlines overbook, and why do banks get it wrong so often? How does big data enable Netflix to forecast a hit, CERN to find the Higgs boson and medics to discover if red wine really is good for you? And how are companies using big data to benefit from...
John Wiley & Sons, Inc., 2024. — 461 p. — ISBN 9781394213245. Introduction to essential concepts and techniques of the fundamentals of R and Python needed to start Data Science projects. Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out Data Science projects,...
Springer, 2021. — 411 p. — ISBN 978-3-030-68175-3. This book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to...
BPB Publications, 2025. — 427 p. — ISBN-13 978-9365895292. Основы науки о данных с помощью R: обучение с упором на манипулирование данными, визуализацию и машинное обучение This book teaches you to draw insights from your data. In today's data-driven business landscape, making informed decisions requires effective data analysis. This book guides you through the steps to import,...
Elsevier, Academic Press, 2020. — 405 p. — (Advances in Ubiquitous sensing applications for healthcare. Volume Six). — ISBN 978-0-12-818014-3. Rapid developments of sensor technology and automated control technology have contributed tremendously to the building of real-time intelligence systems. With the advancements in sensor technologies and machine-to-machine communications,...
FT Press, 2012. — 1495 p. — ISBN10: 0-13-309124-4; ISBN13: 978-0-13-309124-3. A brand new collection of business analytics insights and actionable techniques… 3 authoritative books, now in a convenient e-format, at a great price! 3 authoritative eBooks deliver comprehensive analytics knowledge and tools for optimizing every critical business decision! Use business analytics to...
Springer, 2019. — 384 р. — ISBN: 3030105423. This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and...
De Gruyter, 2025. — 348 p. — (Intelligent Computing, 2). — ISBN 978-3-11-134458-4. Through the application of cutting-edge techniques like Big Data, Data Mining, and Data Science, it is possible to extract insights from massive datasets. These methodologies are crucial in enabling informed decision-making and driving transformative advancements across many fields, industries,...
Springer, 2020. — 325 p. — ISBN: 978-3-030-39249-9. This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise...
Springer, 2016. — 487 p. — ISBN: 978-3319302638. The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit...
Springer International Publishing, 2019. — 415 p. — ISBN: 978-3-030-12048-1 (eBook). This book reviews the state of the art of big data analysis and smart city. It includes issues which pertain to signal processing, probability models, machine learning, data mining, database, data engineering, pattern recognition, visualisation, predictive analytics, data warehousing, data...
2nd Edition. — CRC Press, 2021. — 413 p. — ISBN 9780367568597. Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to real-world problems, covering all stages of a data-intensive social science or policy project. Prominent leaders in the social sciences, statistics, and computer science as well as...
Wiley, 2019. — 296 р. — ISBN: 978-1119522195. Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and...
Author not specified. — Vibrant Publishers, 2017. — 160 p. — ISBN-13 978-1946383488. • 200 Hadoop BIG DATA Interview Questions • 76 HR Interview Questions • Real life scenario based questions • Strategies to respond to interview questions • Free 2 Aptitude Tests online Hadoop BIG DATA Interview Questions You’ll Most Likely Be Asked is a perfect companion to stand ahead above...
Packt Publishing, 2017. — 264 p. Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets Key Features Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and querying massive datasets Learn everything you need to know about Google BigQuery Book Description...
Oxford University Press, 2018. — 144 p. — (Very Short Introductions). — ISBN: 0198779577 Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated each day became huge, and continues to grow...
CRC Press, 2016. — 449 p. — ISBN: 78-1-4987-3487-5. Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details—making them unsuitable to R&D people. To fill such a need, Big data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It...
Wiley, 2015. — 288 p. — ISBN: 1118896629, 9781118896624. A comprehensive guide to learning technologies that unlock the value in big data. Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying...
Bentham Books, 2023. — 392 р. — (IoT and Big Data Analytics (Volume 3)). — ISBN: 978-981-5079-94-4. Big Data is playing a vital role in HCI projects across a range of industries: healthcare, cybersecurity, forensics, education, business organizations, and scientific research. Big data analytics requires advanced tools and techniques to store, process and analyze the huge volume...
IGI Global, 2019. — 608 p. — ISBN: 978-1522574330. The increase in connected devices in the internet of things (IoT) is leading to an exponential increase in the data that an organization is required to manage. To successfully utilize IoT in businesses, big data analytics are necessary in order to efficiently sort through the increased data. The combination of big data and IoT...
The Institution of Engineering and Technology, 2019. — 367 p. — (IET Professional Applications of Computing Series 35). — ISBN 981-1-78561-975-5. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In...
Springer International Publishing, 2018. — 260 p. This book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern control methods and theories, and approaches the peculiarities of Control Technologies as a specific sphere of the Big Data-driven world, distinguished in the modern Digital Economy. The book...
Academic Press, 2020. — 242 p. — ISBN: 978-0-12-815746-6. This book helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away...
BPB Publications, 2024. — 467 p. Unveiling insights, unleashing potential: Navigating the depths of Big Data and analytics for a data-driven tomorrow. Key Features: - Learn about Big Data and how it helps businesses innovate, grow, and make decisions efficiently. - Learn about data collection, storage, processing, and analysis, along with tools and methods. - Discover real-life...
James Lee, Tao Wei, Suresh Kumar Mukhiya. — Packt Publishing, 2018. — 306 p. — ISBN: 978-1-78862-090-1. Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with...
CRC Press, 2017. — 593 p. — ISBN13: 9781498768078. Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage...
Springer, 2016. — 338 р. — ISBN: 978-3-319-43945-7. This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016. The 25 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on...
Anil Maheshwari, 2015. — 256 р. This books fills the need for an easy and holistic book on essential Big Data technologies. Written in a lucid and simple language free from jargon and code, this book provides an intuition for Big Data from business as well as technological perspectives. This book is designed to provide the reader with the intuition behind this evolving area,...
ASQ Quality Press, 2021. — 198 p. More organizations and their leaders are looking to Big Data to transform processes and elevate the quality of products and services. Yet, gathering and storing large amounts of data isn't the quick fix often sought after. Without analysts-the human component-to interpret that data, the cost of incorrect or misinterpreted data can greatly...
Cham : Springer International Publishing, 2019. — 187 p. — ISBN: 978-3-319-97864-2. This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat...
Wiley, 2013. — 176 p. Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses...
Springer, 2021. — 991 p. — ISBN 978-981-16-0964-0. This book presents the proceedings of the International Conference on Computer Networks, Big Data and IoT (ICCBI-2018), held on December 19–20, 2018 in Madurai, India. In recent years, advances in information and communication technologies [ICT] have collectively aimed to streamline the evolution of internet applications. In...
CRC Press, 2023. — 266 р. — ISBN: 978-1-003-32134-7. Building a data-driven organization (DDO) is an enterprise-wide initiative that may consume and lock up resources for the long term. Understandably, any organization considering such an initiative would insist on a roadmap and business case to be prepared and evaluated prior to approval. This book presents a step-by-step...
Springer, 2021. — 300 p. — ISBN 978-3-030-38835-5. This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day...
Prabhu C.S.R., Chivukula A.S., Mogadala A., Ghosh R., Livingston L.M.J. — Springer, 2019. — 422 p. — ISBN: 978-981-15-0093-0. This book provides a comprehensive survey of techniques, technologies and applications of Big Data and its analysis. The Big Data phenomenon is increasingly impacting all sectors of business and industry, producing an emerging new information ecosystem....
2nd Edition. — Springer, 2023. — 492 p. — ISBN 978-3-031-17441-4. This textbook comprehensively covers both fundamental and advanced topics related to Data Science. Data Science is an umbrella term that encompasses data analytics, data mining, Machine Learning, and several other related disciplines. The chapters of this book are organized into three parts: The first part...
Springer, 2017. — 452 p. — ISBN: 978-3319363240. This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent...
The Institution of Engineering and Technology, 2019. — 330 p. — ISBN 978-1-78561-747-8. Большие данные становятся все более распространенными, и использование облачных вычислений становится нормой, безопасность и конфиденциальность наших систем и данных становятся все более важными в связи с возникающими угрозами и проблемами безопасности и конфиденциальности. Эта книга...
Amazon Digital Services LLC, 2016. — 85 p. — ASIN: B01CBGW8KA. The Ultimate Beginners Crash Course To Understanding And Interpreting Big Data! Data Mining & Data Analytics For improved Business Performance, Life Decisions & More! Are You Ready To Learn How To Understand SMART Big Data, Data Mining & Data Analytics For improved Business Performance, Life Decisions & More? If So...
Springer, 2017. — 895 p. — ISBN: 978-3319493398. This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one...
Wiley, 2021. — 399 p. — ISBN 978-1119740759. This book provides a thorough overview of all the aspects of data analytics in IoT systems including need for data analytics, computing platforms, big data analytical tools, data compression and storage, privacy and security etc. It includes discussions of ways to extract valuable insights from Big Data with the help of techniques...
CRC Press; Taylor & Francis Group, 2020. — 234 p. — ISBN13: 978-1-003-02474-3. Digital forensics has recently gained a notable development and become the most demanding area in today’s information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with...
Wiley, 2013. — 240 p. — ISBN: 9781118739570 Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment....
Wiley, 2018. — 220 p. — ISBN: 1786303264. The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this...
USA: IGI Global, 2018. — 954 p. — ISBN: 9781522531425. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague...
Shitharth Selvarajan, Gouse Baig Mohammad, Sadda Bharath Reddy, Praveen Kumar Balachandran. — CRC Press, 2025. — 215 р. — ISBN: 978-1032663005. Big Data and Blockchain Technology for Secure IoT Applications presents a comprehensive exploration of the intersection between two transformative technologies: big data and blockchain, and their integration into securing Internet of...
Springer International Publishing, 2019. — 456 p. This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big...
Springer, 2021. — 316 p. — ISBN 978-981-16-4728-4. This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction,...
The MIT Press, 2022. — 280 р. — ISBN-13: 978-0262047470. The entanglements of people and data, code and space, knowledge and power: how data and algorithms shape the world–and shape us within that world. With the emergence of a post-truth world, we have witnessed the dissolution of the common ground on which truth claims were negotiated, individual agency enacted, and public...
IGI Global, 2021. — 340 p.— ISBN 9781799872320. The availability of big data, low-cost commodity hardware, and new information management and analytic software have produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time...
Oxford University Press, 2020. — 240 p. — ISBN: 978–0–19–886416–5. Pattern-recognition prowess served our ancestors well, but today we are confronted by a deluge of data that is far more abstract, complicated, and difficult to interpret. The number of possible patterns that can be identified relative to the number that are genuinely useful has grown exponentially - which means...
Kogan Page, 2015. — 224 p. Between tweets, likes, comments, blogs, videos and images, today’s customer is estimated to generate 2.5 quintillion bytes of data per day. How can marketers utilize the ever-increasing amount of data to better understand and interact with their customers? This book offers advice on how to interpret and incorporate data into an organization’s overall...
Auerbach Publications, 2017. — 378 p. — ISBN: B073FNVT3Y. There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data...
Springer, 2018. — 263 p. — ISBN: 978-3319639154. This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics...
Amazon Digital Services LLC, 2016. — 54 p. — ASIN: B01DE10HAO Today we live in the world of internet of things. With increased digitization there has been an unprecedented increase in the quantity and variety of data generated worldwide. The enterprise does not know what to do with the data and how to extract information from this data. This data explosion has led to the term...
Independently published, 2020. — 326 p. — ISBN B08Q3HBDM6. Big Data “Information is the oil of the 21st century, and analytics is the combustion engine” -Peter Sondergaard, Senior Vice President, Gartner Data has intrinsic value. But it’s of no use until that value is discovered. Equally important: How truthful is your data—and how much can you rely on it? Today, big data has...
Independently published, 2021. — 328 p.— ISBN B08R985GHW. BIG DATA ANALYTICS Big Data analytics is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information. These patterns are a minefield of information and analysing them provide several insights that can be used by organizations to make business decisions....
Elseiver, 2019. — 465 p. — ISBN 9780128166505. Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety...
The MIT Press, 2021. — 770 p. — ISBN 9780262539883. Scholars from a range of disciplines interrogate terms relevant to critical studies of big data, from abuse and aggregate to visualization and vulnerability. This pathbreaking work offers an interdisciplinary perspective on big data, interrogating key terms. Scholars from a range of disciplines interrogate concepts relevant to...
CRC Press, 2025. — 271 p. — (Серия: Computational and Intelligent Systems). — ISBN 9781032832760. The book provides a comprehensive discussion for utilizing computational models such as artificial neural networks, agent-based models, and decision field theory, for reliability engineering. It further presents optimization solutions for smart and secure healthcare services. The...
Springer, 2022. — 686 p. — (Big Data Management). — ISBN 978-981-16-7566-9. The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous significance when it comes to discovering implicit, non-trivial and potentially valuable information from this spatial data. Spatial co-location patterns reveal the...
Columbia Business School Publishing, 2023-05-23. — 296 р. — ISBN-13: 978-0231200608. If you want to win an election, improve the health of a city, or thrill your customers, you’re going to need precision systems–the highly engineered working arrangements of teams, processes, and technologies that put data and AI to work creating the change that leaders want, exactly how they...
Independently published, 2020. — 320 p. — ISBN-13 979-8674657408. Have you always wondered how it is that a machine understands what you are saying? Did you wonder how Siri or Alexa always knows exactly what to show you when you ask them something? If you did, you have come to the right place. Machines are able to interpret and understand human beings and also interpret the...
Atlantis Press, 2016. — 133 p. — ISBN 978-94-6239-183-3. This book demonstrates the inevitability of a continuously growing role of data in our society and it stresses that this role does not need to be threatening: to the contrary, collection and analysis of data can help us prevent traffic jams, suppress epidemics, or produce tailor made medicine. The authors sketch the...
Springer, 2019. — 105 p. Data-intensive systems are a technological building block supporting Big Data and Data Science applications. This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is...
Springer, 2016. — 426 p. — ISBN: 978-3-319-41279-5. This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To...
Springer, 2023. — 195 р. — (Studies in Big Data 125). — ISBN 978-3-031-29936-0. The use of data to guide action is growing. Even the public uses data to guide everyday decisions! How do we develop data acumen across a broad range of fields and varying levels of expertise? How do we foster the development of effective data translators? This book explores these questions,...
IGI Global, 2024. — 310 p. — ISBN-13: 979-8-3693-4293-0. In an era defined by the deluge of data, navigating the complexities of decision-making under conditions of uncertainty has emerged as a formidable challenge for scholars and practitioners alike. The sheer volume and velocity of information inundating decision-makers often leads to paralysis or misguided choices,...
Elsevier Inc., 2023. — 222 p. — ISBN: 978-0-443-18428-4. Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile...
World Scientific Publishing, 2021. — 352 p. — ISBN 9789811235993. This book is designed as a popular science book on big data analytics in intelligent transportation systems. It aims to provide an introduction to big-data transportation starting from an overview on the development of big data transportation in various countries. This is followed by a discussion on the blueprint...
Springer, 2022. — 632 p. — ISBN 978-981-16-8016-8. This book starts from the relationship between urban built environment and travel behavior and focuses on analyzing the origin of traffic phenomena behind the data through multi-source traffic big data, which makes the book unique and different from the previous data-driven traffic big data analysis literature. This book...
Москва: АСТ, 2018. — 352 с. — (Цифровая экономика и цифровое будущее). — ISBN 978-5-17-098520-3. Социальная физика - это новая общественная наука, которая математическими методами изучает влияние информационного потока на человеческое поведение. Изощренная методика изучения «хлебных крошек», которые мы оставляем за собой в интернете, дает возможность предсказывать поведение...
Москва: MИФ, 2022. — 377 с. — (Мир больших данных). — ISBN 978-5-00169-883-8. Книга о том, как распознавать ложь, дезинформацию, фейковые новости и не попасться на удочку красивых графиков, убедительной статистики и наукообразных терминов. В отличие от прямой лжи чушь звучит весьма правдоподобно. Это информация, про которую нельзя однозначно сказать, что она ложна, но она...
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