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This book guides readers from the very start of their journey in discovering data and all its uses to implementing... Læs mere
Douglas Ezzy explains the difference between inductive, deductive and abductive theory building, provides a guide to computer-assisted analysis and outlines techniques such as journal writing, team meetings and participant reviews.
Denne boken drøfter hvordan man formulerer undersøkelsesspørsmål, utformer undersøkelser, skaffer til veie og analyserer data, og rapporterer resultatene. Verdien av... Læs mere
Climate predictions - and the computer models behind them - play a key role in shaping public opinion on climate change. Providing an... Læs mere
Climate predictions - and the computer models behind them - play a key role in shaping public opinion on climate change. Providing an... Læs mere
Statistics and Data Visualization Using R: The Art and Practice of Data Analysis teaches students statistics visually, focusing on interpreting graphs and charts to learn statistical concepts, from the mean through regression.
This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels.
This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently.
Data has reshaped industries around the world, from finance and medicine to sports. Law has trailed behind other industries, but is quickly... Læs mere
With contributions from academics across the globe, this book showcases how you can use data analysis for better and more effective urban planning and management.