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This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society.
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This book gathers a collection of high-quality peer-reviewed research papers presented at the International... Læs mere
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This book teaches basic techniques for produce visualizations of tables, time series, maps, text, and... Læs mere
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This text explores a diverse set of data science topics through a mathematical lens, helping mathematicians become acquainted with data science in... Læs mere
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The author explains the internal logic embodied in the Python language so that readers can get into the Python mindset and make better design choices in their codes, which is especially helpful for newcomers to both Python and data analysis.
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This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a... Læs mere
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Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data in applied domains. This comprehensive text covers the current... Læs mere
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Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for... Læs mere
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This book aims to build and prompt the field of Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications,... Læs mere
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This book presents the developments in machine learning with data mining, and their influence in Industrial IoT 4.0 for cancer... Læs mere
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Massive Graph Analytics provides a comprehensive introduction to massive graph analytics, featuring contributions from thought leaders across academia, industry, and government.... Læs mere