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...
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...
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...
Springer, 2021. - 411p. - ISBN: 9783030681753 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 support...
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 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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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....
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...
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...
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...
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