Book Details

Evaluation of Text Summaries Based on Linear Optimization of Content Metrics / Jonathan Rojas-Simon, Yulia Ledeneva, Rene Arnulfo Garcia-Hernandez

Publication year: 2022

ISBN: 978-3-031-07214-7

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Covers both theoretical contributions and practical applications in security system design by applying the Internet of Things (IoT) and CI. It further explains the application of IoT in the design of modern security systems and how IoT blended with computational intel- ligence can make any security system improved and realizable. Key features: Focuses on the computational intelligence techniques of security system design Covers applications and algorithms of discussed computational intelligence techniques Includes convergence-based and enterprise integrated security systems with their applications Explains emerging laws, policies, and tools affecting the landscape of cyber security Discusses application of sensors toward the design of security systems This book will be useful for graduate students and researchers in electrical, computer engineering, security system design and engineering


Subject: Artificial intelligence, Machine learning, Automatic Text Summarization (ATS), Natural Language Generation Tasks, Evaluation of Text Summaries (ETS), Content-Based Metrics, Linear Optimization, Genetic Algorithm (GA), Intrinsic Evaluation, Latent Semantic Analysis (LSA), ROUGE-C, Jensen-Shannon Divergence, Computational Intelligence, Data Engineering, Big Data, Deep learning, Data mining, Automatic abstracting Evaluation, Mathematical optimization, Natural language processing (Computer science)