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Practical Time Series Analysis for Data Science is an accessible guide that doesn’t require a background in calculus to be engaging but does not shy away from deeper explanations of the techniques discussed.
Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for... Læs mere
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
This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.
The use of language corpora, or large samples of natural texts, has become ubiquitous in linguistic... Læs mere
A systematic introduction to the theory, algorithms, and applications of key mathematical models for... Læs mere
This book guides readers from the very start of their journey in discovering data and all its uses to implementing... 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
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.
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.
Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.