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This book helps readers understand the mathematics of machine learning, and apply them in different situations. The book will be of interest to all researchers who intend to use... Læs mere
This book provides comprehensive guidance on leveraging SAP IBP technology to connect strategic... Læs mere
This book presents a rich compilation of real-world cases on digitalization, the goal being to share first-hand insights from respected organizations and to make digitalization more tangible.
The data integration system proposed in this book links remote databases in a networked environment, supports heterogeneous databases and data formats, links... Læs mere
This inaugural volume on a topic of increasing importance collates research on databases, statistics, information retrieval, data mining and machine learning to provide a detailed discussion of the practical aspects and limitations of data matching.
This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The... Læs mere
This book explores the changes in political communication in light of the development of a public opinion mediated by web 2.0 technologies.
In this book, Helen Kennedy argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data relations emerge.
Part II then investigates the problem of finding our real information need during information searches, and how our exceptional ability to frameour interactions with the world blocks us from finding the information we really need.
Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications.