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Data Engineering for Data-Driven Marketing
Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources.
Artificial Intelligence and Actuarial Science
This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of artificial intelligence with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of machine learning, telematics system, AI-enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI-enabled risk management tools in various actuarial processes. This book: • Presents case studies and best practices with real-world examples of successful and unsuccessful actuarial work transformation initiatives and transformat...
Mathematical and Statistical Methods for Actuarial Sciences and Finance
The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello (Amalfi coast), and successively, after a reviewing process, worked out to this aim.
Nature-Inspired Optimization Methodologies in Biomedical and Healthcare
This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes.
Innovation in Electrical Power Engineering, Communication, and Computing Technology
This book features selected high-quality papers from the Second International Conference on Innovation in Electrical Power Engineering, Communication, and Computing Technology (IEPCCT 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on 24–26 September 2021. Presenting innovations in power, communication, and computing, it covers topics such as mini, micro, smart and future power grids; power system economics; energy storage systems; intelligent control; power converters; improving power quality; signal processing; sensors and actuators; image/video processing; high-performance data mining algorithms; advances in deep learning; and optimization methods.
Advanced Network Technologies and Computational Intelligence
This two-volume set, CCIS 2382 and CCIS 2383, constitutes the refereed proceedings of the First International Conference on Advanced Network Technologies and Computational Intelligence, ICANTCI 2024, held in Punjab, India, during April 5-6, 2024. The 38 full papers and 6 short papers included in this book were carefully reviewed and selected from 153 submissions. The papers are organized in the following topical sections: Part I: Advanced Network Technologies; Computational Intelligence. Part II: Computational Intelligence; Computer Technology Trends.
Electric Power Systems Resiliency
Electric Power Systems Resiliency: Modelling, Opportunity and Challenges considers current strengths and weaknesses of various applications and provides engineers with different dimensions of flexible applications to illustrate their use in the solution of power system improvement. Detailing advanced methodologies to improve resiliency and describing resilient-oriented power system protection and control techniques, this reference offers a deep study on the electrical power system through the lens of resiliency that ultimately provides a flexible framework for cost-benefit analysis to improve power system durability. Aimed at researchers exploring the significance of smart monitoring, protecting and controlling of power systems, this book is useful for those working in the domain of power system control and protection (PSOP). - Features advanced methodologies for improving electrical power system resiliency for different architectures, e.g., smart grid, microgrid and macro grid - Discusses resiliency in power generation, transmission and distribution comprehensively throughout - Includes case studies that illustrate the applications of resilience in power systems
Blockchain Intelligent Systems
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Data Analytics for Social Microblogging Platforms
Data Analysis for Social Microblogging Platforms explores the nature of microblog datasets, also covering the larger field which focuses on information, data and knowledge in the context of natural language processing. The book investigates a range of significant computational techniques which enable data and computer scientists to recognize patterns in these vast datasets, including machine learning, data mining algorithms, rough set and fuzzy set theory, evolutionary computations, combinatorial pattern matching, clustering, summarization and classification. Chapters focus on basic online micro blogging data analysis research methodologies, community detection, summarization application development, performance evaluation and their applications in big data. - Investigates various methodologies and algorithms for data summarization, clustering and classification - Covers both theory and practical applications from around the world, across all related disciplines of Intelligent Information Filtering and Organization Systems - Explores different challenges and issues related to spam filtering, attribute selection, and classification for large datasets
