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This book focuses on how the BOXES Methodology, which is based on the work of Donald Michie, is applied to ill-defined real-time control systems with minimal a priori knowledge of the system.
This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Readers... Læs mere
This book constitutes the refereed proceedings of the 21st International... Læs mere
This book provides tools and algorithms for solving a wide class of optimization tasks by learning from their repetitions. A... Læs mere
Multimedia clouds not only democratize multimedia streaming and add flexibility to the streaming services, they also help stream providers to offer robust and reliable streaming services in a cost- and energy-efficient manner.
This book offers a clear understanding of the concept of context-aware machine learning including an automated rule-based framework within the broad area of data science and analytics, particularly, with the aim of data-driven intelligent decision making.
This book addresses the need to explore user interaction with online learning repositories and the detection of emergent communities of users.
Data profiling refers to the activity of collecting data about data, {i.e.}, metadata.
Data usually comes in a plethora of formats and dimensions, rendering the exploration and information extraction processes challenging. We show how that... Læs mere
Spatial-keyword data has numerous applications that require efficient processing and management of massive amounts of spatial-keyword data.This book starts... Læs mere
This book explores the implications of non-volatile memory (NVM) for database management systems (DBMSs). With NVM, many of the components of legacy DBMSs... Læs mere