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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.
Their feature modelling approach eschews the knowledge requirement on both the querying languages and system.To extract knowledge from... 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 provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications.
This book demonstrates how quantitative methods for text analysis can successfully combine with qualitative methods in the study of different disciplines of the Humanities and Social Sciences (HSS).
Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only... Læs mere
This book constitutes the refereed proceedings of the 6th IFIP TC 5... Læs mere
This edited volume presents advances in modeling and computational analysis techniques related to networks and online communities. This... Læs mere
This richly illustrated book provides an easy-to-read introduction to the challenges of organizing and integrating modern data worlds, explaining the contribution of public statistics and the ISO standard SDMX (Statistical Data and Metadata Exchange).
Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed... Læs mere