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This book presents modeling methods and algorithms for data-driven prediction and forecasting of practical industrial process by employing machine learning and statistics methodologies.
This book presents the most important fault-tolerant distributed programming abstractions and their associated distributed algorithms, in particular in terms of reliable communication and agreement, which lie at the heart of nearly all distributed applications.
Systems biology is an inter-disciplinary field that focuses on complex interactions within biological systems to reveal 'emergent properties' - properties of cells and groups of... Læs mere
Their feature modelling approach eschews the knowledge requirement on both the querying languages and system.To extract knowledge from... Læs mere
This book presents two new decomposition methods to decompose a time series in intrinsic components of low and high frequencies.
This book constitutes the refereed proceedings of the 12th IFIP WG 11.11... Læs mere
This new edition continues to illustrate the power of biological data in knowledge discovery. It describes biological data types and representations... Læs mere
This book explores fascinating topics at the edge of life, guiding the reader all the way from the relation of life processes to the second law of thermodynamics and... Læs mere
This book addresses and examines the impacts of applications and services for data management and analysis, such as infrastructure, platforms, software, and business processes, on both academia and industry.
This book brings together the latest research in this new and exciting area of visualization, looking at classifying and modelling cognitive biases, together with user... Læs mere