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Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables.
This book introduces the concepts, applications and development of data science in the telecommunications industry by focusing on advanced machine learning and data mining methodologies in the wireless networks domain.
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