Bøker av Bhavani Thuraisingham

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.

Antivirus software uses algorithms to detect viruses Reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud framework, and the applications for insider threat detection.

Focusing on a data-centric perspective, this is an overview of data mining: its uses, methods, current technologies, commercial products, and future challenges. It describes technologies for data mining database systems, presents tools and techniques, and examines emerging trends.

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.

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.