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This book focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more... Læs mere
This popular book, updated as a textbook for classroom use, discusses text mining and different ways this type of data mining can be used to... Læs mere
This updated book describes optimization models of clustering problems and clustering algorithms based on optimization techniques, including their implementation, evaluation, and applications.
This book presents Proceedings of the International Conference on Intelligent Systems and Networks, Hanoi, Vietnam, a collection of peer-reviewed articles accepted by ICISN 2024. The scope of the proceedings include, but not limited to Foundations of Computer Science;
Now in its sixth edition, Data for Journalists is a straightforward and effective guide to using data for news stories.
The book is meant for graduate students, postgraduate students, research scholars, academicians and policymakers to understand business analytics and its application in various business domains.
The book investigates future frontiers such as quantum computing and multi-omics integration, and presents a picture of the genetic environment to advance enhanced genomics, enabling more precise forecasts, and personalised therapies.
Large language models (LLMs), advanced AI systems trained on vast text datasets, are reshaping education. This book explores their role in revolutionizing learning through cognitive reinforcement, personalization, curriculum-wide applications, and teacher training.
This is a concise all-in-one analytics book for business professionals or university students who want to understand the concepts of analytics, grasp hands-on... Læs mere
This third edition explores both the leading software tools, methodology of spatial data analysis and the suite of R, for the analysis of vector... Læs mere