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The ultimate objective of this book is to provide the academic and industrial communities with an in-depth introduction to the recent advances in development,... Læs mere
This book provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner,... Læs mere
This book describes a novel approach to scientific research that uses unstructured data analysis as a generative tool for... Læs mere
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several... Læs mere
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
Digital Image Processing with C++ presents the theory of digital image processing, and implementations of... Læs mere