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Practical introduction to crime mapping and spatial data analysis using R and R Studio. Crime mapping and analysis of crime problems using spatially... Læs mere
This book describes how to establish data science and analytics capabilities in organisations using emergent design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment.
This book brings together researchers in the field of big data analytics and intelligent systems for cyber threat intelligence CTI and key data to advance the mission of anticipating, prohibiting, preventing, preparing, and responding to internal security.
Presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an... Læs mere
This book makes readers aware of the need, complexity, and challenges associated with open science, modern science communication, and data stewardship.
Addresses theoretical, formal, and pragmatic issues of geographic knowledge representation and integration based on an... Læs mere
Addressing a variety of organizational issues, this book presents a compilation of research works on data mining and forecasting techniques, including multivariate, evolutionary, and neural net methods. It focuses on data mining techniques used for conducting marketing research.
This book discusses the newest approach to online learning systems in higher education. As e-learning platforms change their... Læs mere
This book demonstrates the core concepts of deep learning algorithms that, using diagrams, data tables, and examples, are especially useful for deep learning based human cancer diagnostics.
Digital Image Processing with C++ presents the theory of digital image processing, and implementations of... Læs mere