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It is ubiquitous in our daily life, ranging from product taxonomies used by online retailers, topic taxonomies deployed by news outlets and social media, as well as scientific taxonomies deployed by digital libraries across various domains.
This book provides a comprehensive introduction to the foundations and frontiers of graph neural networks. In addition, the book introduces the basic concepts and... Læs mere
This book discusses how a genealogical history of the modern world can be created by linking the Royal Families of Western Europeans database to Unifying Ancestry.
In addition, the authors suggest that proximity is a thread between retrieval constructs based on known topics, predictable relations, and types... Læs mere
This book synthesizes existing research on human-centered data discovery, as well as the recommendations which exist for supporting the design of sustainable, user-centered data search systems.
This book discusses the two fundamental elements that underline the science and design of artificial intelligence (AI) systems: the learning and... Læs mere
So what are the ethical responsibilities of the executive branch to counter covert campaigns such as the one... Læs mere
The monetization of data is a very young topic, for which there are only very few case studies. Because machine data is usually unstructured and not usable without domain knowledge/metadata, the monetization of machine data has an as yet unquantifiable potential.
The conference was held during 16–17 December 2017, Udaipur, India and organized by Association of Computing Machinery, Udaipur Professional Chapter in association with The Institution of Engineers (India), Udaipur Local Center and Global Knowledge Research Foundation.
This volume contains a selection of revised and extended research articles written by prominent researchers participating in a large international conference on Advances in Engineering Technologies and Physical Science which was held in London, UK, 5-7 July, 2017.
This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence, and data analytics, along with advances in network technologies.