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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.
This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
There are many books on infectious disease epidemiology with an emphasis on mathematical modelling, but less so on dataanalytic aspects. This provides a unique and comprehensive account of state-of-the-art methodology for analysis of infectious disease data.
Geared towards educators interested in developing curriculum related to data analytics. Contains best practices for individual courses and program development.
Effective presentation of analytical results is the key to close a project successfully. With the meteoric rise in the popularity of data science... Læs mere
'Almost anyone can improve the quality of their data using this book as a prompt/guide’- Customer Insight Leader
Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the... Læs mere
Making sense of digital societies implies studying mundane data practices: how they originated, the forms they take, and how they shape the future.
A Simple Guide to Technology and Analytics is a ready reference book for those times when you don’t really understand the technology and analytics being talked about.
Dimension reduction offers researchers and scholars the ability to make complex, high dimensional data spaces simpler and more manageable. This Element offers readers a suite... Læs mere