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Information systems --- informatiemanagement (informatica) --- informatiemaatschappij --- data acquisition
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Cameras. --- Extrasolar planets. --- Operations research. --- Astronomical photometry. --- Data acquisition.
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Algorithms. --- Commercial aircraft. --- Trajectories. --- Data acquisition. --- Management planning.
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Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- datamining --- big data --- gegevensanalyse --- KI (kunstmatige intelligentie) --- data acquisition
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This book presents the basics of search engines and their components. It introduces, for the first time, the concept of Cellular Automata in Web technology and discusses the prerequisites of Cellular Automata. In today’s world, searching data from the World Wide Web is a common phenomenon for virtually everyone. It is also a fact that searching the tremendous amount of data from the Internet is a mammoth task – and handling the data after retrieval is even more challenging. In this context, it is important to understand the need for space efficiency in data storage. Though Cellular Automata has been utilized earlier in many fields, in this book the authors experiment with employing its strong mathematical model to address some critical issues in the field of Web Mining.
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This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications. .
Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- datamining --- big data --- gegevensanalyse --- KI (kunstmatige intelligentie) --- data acquisition
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This book explores the big data evolution by interrogating the notion that big data is a disruptive innovation that appears to be challenging existing epistemologies in the humanities and social sciences. Exploring various (controversial) facets of big data such as ethics, data power, and data justice, the book attempts to clarify the trajectory of the epistemology of (big) data-driven science in the humanities and social sciences.
Sociology & anthropology --- big data --- data storage --- statistical analysis --- digital revolution --- social sciences --- data generation --- data acquisition --- data analysis --- data science
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Mathematical statistics --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- computervisie --- patroonherkenning --- beeldverwerking --- factoranalyse --- datamining --- machine learning --- gegevensanalyse --- KI (kunstmatige intelligentie) --- data acquisition --- optica
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