Bøger af Bhavani Thuraisingham

This book comprises select peer-reviewed articles submitted for the proceedings of the International Conference on Mathematics and Computing (ICMC 2022), held by the School of Advanced Sciences, Vellore Institute of Technology, Vellore, India, in association with Ramanujan Mathematical Society, India, Cryptology Research Society of India and Society for Electronic Transactions and Security, India, from 6-8 January 2022. With an aim to identify the existing challenges in the areas of mathematics and computing, the book emphasizes the importance of establishing new methods and algorithms to address these challenges. The book includes topics on diverse applications of cryptology, network security, cyber security, block chain, IoT, mobile network, data analytics, applied algebra, mathematical analysis, mathematical modelling, fluid dynamics, fractional calculus, multi-optimization, integral equations, dynamical systems, numerical analysis and scientific computing. Divided into five major parts-applied algebra and analysis, fractional calculus and integral equations, mathematical modelling and fluid dynamics, numerical analysis, and computer science and applications-the book is a useful resource for students, researchers and faculty as well as practitioners.

Showing how data mining tools are developed, this practical guide explains how to use intrusion detection for security applications, Web page surfing prediction for e-commerce applications, and image classification for multimedia applications. It reviews data mining techniques, such as neural networks and support vector machines.

Including exercises, this book presents discussions of XML security, RDF security, and secure information integration. It provides coverage of privacy for the semantic web, secure web services, as well as dependability issues such as real-time processing, faulty tolerance, and integrity for the semantic web.

Taking a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, technologies, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining; Part II presents tools and techniques; Part III examines emerging trends. Accessible and self-contained, the book also contains two appendices that provide information on technologies such as data management, and artificial intelligence. The book provides singular guidance on appropriate techniques for specific applications and thoroughly assesses data mining product information.

This reference for database administrators, database designers, and Web designers working in tandem with database technologists covers three emerging technologies of significant impact for electronic business: Extensible Markup Language (XML), Semi-structured Databases, and the Semantic Web. The first three parts of the book explore these emerging technologies. The fourth part highlights the implications of these technologies for E-Business. Overall, the book presents a comprehensive view of critical technologies for the Web in general and XML in particular.

Covers three technologies of impact for electronic business: Extensible Markup Language (XML), Semi-structured Databases, and the Semantic Web. This book highlights the implications of these technologies for E-Business. It presents a comprehensive view of critical technologies for the Web in general and XML in particular.

The explosion of Web-based data has created a demand among executives and technologists for tools and strategies to gather, analyze and utilize online information. This book describes key concepts in Web mining and discusses resulting applications in business intelligence and counter-terrorism.