Artificial Intelligence and Data Mining Approaches in Security Frameworks - Группа авторов

"Artificial Intelligence and Data mining Approaches to Security Frameworks" by a group of authors is a comprehensive guide to the field of artificial intelligence (AI), data mining and their application in security frameworks. The book explores the most recent and state-of-the-art methods and algorithms used in AI and data science, with a focus on security framework implementations.

The book covers a wide range of topics relating to AI-based security frameworks, including pattern recognition, automated threat detection, and visual recognition. Data mining methods are also explored in detail, including fraud detection and the identification of developmental delays in children.

Key topics covered include the application of neural networks and fuzzy logic algorithms, as well hybrid AI methods. Methods for detection, prediction and future forecast modeling are also covered. All these aspects are implemented and applied using practical case studies, which provide an accessible resource for researchers and security framework engineers.

Эта книга посвящена новым подходам в области искусственного интеллекта и анализа данных в сфере безопасности. Авторы объединили ресурсы и знания из различных научных дисциплин – от науки данных до искусственного интеллекта, чтобы создать ценные сведения в этой области. Книга содержит информацию о современных методах и приемах в искусственном интеллекте и анализе данных, применяемых в различных задачах, таких как распознавание шаблонов, автоматическое обнаружение угроз, решение проблем и др. Авторы также рассматривают гибридные методы, такие как искусственные нейронные сети, нечеткая логика, генетические алгоритмы, что делает эту книгу уникальной и значимой во всех отношениях. Этот новейший труд призваны заполнить пробелы в исследованиях в области искусственного интеллектаи анализа данных и подготовить почву для повсеместного применения.

Электронная Книга «Artificial Intelligence and Data Mining Approaches in Security Frameworks» написана автором Группа авторов в году.

Минимальный возраст читателя: 0

Язык: Английский

ISBN: 9781119760436

Artificial intelligence (AI) and data mining is the fastest growing field in computer science. AI and data mining algorithms and techniques are found to be useful in different areas like pattern recognition, automatic threat detection, automatic problem solving, visual recognition, fraud detection, detecting developmental delay in children, and many other applications. However, applying AI and data mining techniques or algorithms successfully in these areas needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to Artificial Intelligence. Successful application of security frameworks to enable meaningful, cost effective, personalize security service is a primary aim of engineers and researchers today. However realizing this goal requires effective understanding, application and amalgamation of AI and Data Mining and several other computing technologies to deploy such system in an effective manner. This book provides state of the art approaches of artificial intelligence and data mining in these areas. It includes areas of detection, prediction, as well as future framework identification, development, building service systems and analytical aspects. In all these topics, applications of AI and data mining, such as artificial neural networks, fuzzy logic, genetic algorithm and hybrid mechanisms, are explained and explored. This book is aimed at the modeling and performance prediction of efficient security framework systems, bringing to light a new dimension in the theory and practice.  This groundbreaking new volume presents these topics and trends, bridging the research gap on AI and data mining to enable wide-scale implementation. Whether for the veteran engineer or the student, this is a must-have for any library.