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This handbook aims to serve as a one-stop, reliable source of reference, with curations of survey and expository contributions on the state-of-the-art in Blockchain technology.... Læs mere
This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science.
The result is an accessible introduction into machine learning that concentrates on reinforcement learning.
The book aims at presenting a multidisciplinary view meant to illustrate several significant efforts and... Læs mere
This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. It includes fifteen... Læs mere
This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis... Læs mere
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 states that data users often suffer from the difficulty of acquiring knowledge for decision-making, and others are unsure how existing data are useful.
This book systemically presents the latest research findings in fuzzy RDF data modeling and management. Its major topics include representation of fuzzy RDF data, fuzzy RDF graph matching, query of fuzzy RDF data, and persistence of fuzzy RDF data in diverse databases.