Wiley – AGU, 2023. — 355 p. — (Special Publications 77). — ISBN 9781119467571. Applying tools for data analysis to the rapidly increasing volume of data about the Earth. An ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are...
Wiley-ISTE, 2020. — 277 p. — (Intellectual Technologies Set, Volume 7) — ISBN: 978-1-119-77699-4. From Trace to Web Data: An Ontology of the Digital Footprint The epistemology of the cultural sciences The footprint in evidential sciences The log or activity history The digital footprint as a web log The intentionality of digital footprints Data as theoretically-loaded...
Butterworth-Heinemann, 2020. — 363 p. — ISBN: 978-0-12-818904-7. This book offers the fundamental and practical aspects of big data solutions applied to ocean and offshore energy systems. The book explores techniques for assessment of tidal, wave and offshore wind energy systems. It presents the use of data mining software to simulate systems and Hadoop technology to evaluate...
Academic Press, 2020. — 233 p. — ISBN: 978-0-12-813127-5. This book helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools that allow researchers to capture real-time and high-resolution information to...
Elsevier, 2020. — 340 p. — ISBN: 978-0-12-818703-6. This book addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is...
Academic Press, 2020. — 299 p. — ISBN: 978-0-12-814482-4. This book provides a unified framework for biomedical data analysis using varied machine learning and statistical techniques. It presents insights on biomedical data processing, innovative clustering algorithms and techniques, and connections between statistical analysis and clustering. The book introduces and discusses...
Academic Press, 2020. — 228 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...
Wiley, 2019. — 360 p. — ISBN: 978-1-119-37697-2. A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that...
Academic Press, 2018. — 345 p. — ISBN: 978-0-12-813314-9. This book covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for...
Academic Press, 2017. — 309 p. — ISBN: 978-0-12-809393-1. This book 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...
CRC Press, 2017. — 387 p. — ISBN: 978-1-4987-5355-5. This book is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on...
Morgan Kaufmann, 2016. — 477 p. — ISBN: 978-0-12-805394-2 Big Data: Principles and Paradigms captures the state-of-the-art research on the architectural aspects, technologies, and applications of Big Data. The book identifies potential future directions and technologies that facilitate insight into numerous scientific, business, and consumer applications. To help realize Big...