Database management systems, Zygiaris, Sotirios

Автор: Steven L. Brunton, J. Nathan Kutz
Название: Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
ISBN: 1108422098 ISBN-13(EAN): 9781108422093
Издательство: Amazon Internet
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Цена: 0.00 T
Наличие на складе: Невозможна поставка.
Описание: Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. Aimed at advanced undergraduate and beginning graduate students, this textbook provides an integrated viewpoint that shows how to apply emerging methods from data science, data mining, and machine learning to engineering and the physical sciences.

Автор: Venkata M. V. Gunturi; Shashi Shekhar
Название: Spatio-Temporal Graph Data Analytics
ISBN: 3319884867 ISBN-13(EAN): 9783319884868
Издательство: Springer
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Цена: 111790.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights some of the unique aspects of spatio-temporal graph data from the perspectives of modeling and developing scalable algorithms.

Автор: Ali Tajer, Samir M. Perlaza, H. Vincent Poor
Название: Advanced Data Analytics for Power Systems
ISBN: 1108494757 ISBN-13(EAN): 9781108494755
Издательство: Cambridge Academ
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Цена: 109830.00 T
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Описание: Experts in data analytics and power engineering present theories addressing the needs of modern power systems. Covering theory and application to the solution of power system problems relating to reliability, efficiency, and security, this is an essential resource for graduate students and researchers in academia and industry.

Автор: Johnson I. Agbinya
Название: Applied Data Analytics - Principles and Applications
ISBN: 8770220964 ISBN-13(EAN): 9788770220965
Издательство: Taylor&Francis
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Цена: 99010.00 T
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Описание: The emergence of huge amounts of data which require analysis and in some cases real-time processing has forced exploration into fast algorithms for handling very lage data sizes. Analysis of x-ray images in medical applications, cyber security data, crime data, telecommunications and stock market data, health records and business analytics data are but a few areas of interest. Applications and platforms including R, RapidMiner and Weka provide the basis for analysis, often used by practitioners who pay little to no attention to the underlying mathematics and processes impacting the data. This often leads to an inability to explain results or correct mistakes, or to spot errors.

Applied Data Analytics - Principles and Applications seeks to bridge this missing gap by providing some of the most sought after techniques in big data analytics. Establishing strong foundations in these topics provides practical ease when big data analyses are undertaken using the widely available open source and commercially orientated computation platforms, languages and visualisation systems. The book, when combined with such platforms, provides a complete set of tools required to handle big data and can lead to fast implementations and applications.

The book contains a mixture of machine learning foundations, deep learning, artificial intelligence, statistics and evolutionary learning mathematics written from the usage point of view with rich explanations on what the concepts mean. The author has thus avoided the complexities often associated with these concepts when found in research papers. The tutorial nature of the book and the applications provided are some of the reasons why the book is suitable for undergraduate, postgraduate and big data analytics enthusiasts.

This text should ease the fear of mathematics often associated with practical data analytics and support rapid applications in artificial intelligence, environmental sensor data modelling and analysis, health informatics, business data analytics, data from Internet of Things and deep learning applications.

Автор: Vidgen Richard
Название: Business Analytics
ISBN: 1352007258 ISBN-13(EAN): 9781352007251
Издательство: Springer
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Цена: 49370.00 T
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Описание: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills.

With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics.

Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Автор: Cairns Paul
Название: Doing Better Statistics in Human-Computer Interaction
ISBN: 110848252X ISBN-13(EAN): 9781108482523
Издательство: Cambridge Academ
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Цена: 102430.00 T
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Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.

Автор: Cairns Paul
Название: Doing Better Statistics in Human-Computer Interaction
ISBN: 110871059X ISBN-13(EAN): 9781108710596
Издательство: Cambridge Academ
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Цена: 33790.00 T
Наличие на складе: Невозможна поставка.
Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.

Автор: Guta, Dawit Diriba
Название: Bio-based energy, rural livelihoods and energy security in ethiopia
ISBN: 3631666861 ISBN-13(EAN): 9783631666869
Издательство: Peter Lang
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Цена: 81430.00 T
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Описание: This study explores issues of biomass energy use in relation to household welfare and it assesses Ethiopia’s future energy security with a focus on long-term model of the energy sector, and institutional arrangements required for decentralized energy initiatives. Data from Ethiopian rural households reveal negative welfare effects associated with traditional biomass energy utilization, while increases in the opportunity cost of fuelwood collection is associated negatively with allocation of labour to agriculture and fuelwood use. It appears that investment on integrated energy source diversification improves sustainability and resilience, but increases production cost. Innovations that improve alternative sources reduce production cost, improve energy security, and thus serve as an engine of economic growth.