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It features a range of proven and recent nature-inspired algorithms used to data clustering, including particle swarm optimization, ant colony... Læs mere
This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020.
This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc.
Major updates on techniques and subject coverage (including deep learning) are included. Topics and features: guides the... Læs mere
This book provides a review blockchain technology, and current developments in research and business applications. It aims to explore the real-time applications and issues that will bring the synergy needed to materialize the goal of blockchain intelligence.
This book discusses the financial impact of Artificial Intelligence (AI) on the finance... Læs mere
The first half of this go-to companion by Paul Turley provides complete coverage of the PL-300 exam objectives for desktop and self-service users, while the second half equips you with necessary best practices and practical skills for real-world success after the exam.
This book explores methods for leveraging data to create innovative... Læs mere
The book delves into the fundamental concepts of sentiment analysis, its techniques, and its practical applications in the context of educational data.
This book collects together selected peer-reviewed contributions presented at the European Conference on Data Analysis, ECDA 2022, held in Naples, Italy, September 14-16, 2022.