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This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various... Læs mere
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The concept of deep machine learning is easier to understand by paying attention to the cyclic stochastic time series and a time series whose content is non-stationary not only within the cycles, but also over the cycles as the cycle-to-cycle variations.
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Pulling aside the curtain of ‘Big Data’ buzz, this book introduces C-suite and other non-technical senior leaders to the essentials of obtaining and maintaining accurate, reliable data, especially for decision-making purposes.
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This book cover wireless communication, security issues, advanced wireless sensor networks, routing protocols of WSNs... Læs mere
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While most discoverability evaluation studies in the Library and Information Science field discuss the intersection of... Læs mere
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Management information systems (MIS) produce the information that managers use to make important strategic decisions. This book takes a decidedly managerial... Læs mere
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This 2010 comprehensive overview of relational mathematics provides an easy introduction to the topic, but is nevertheless theoretically sound and up-to-date. Assuming a minimum... Læs mere
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This new book aims to provide both beginners and experts with a completely algorithmic... Læs mere
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Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind... Læs mere
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Searching for a needle in a haystack is an important task in several contexts of data analysis and decision-making.... Læs mere
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Thoroughly revised and updated, this third edition covers, in an intuitive, way, the database design process, from the inception of a database to... Læs mere