In this textbook, I take an unconventional approach to data analysis. Its contents are heavily influenced by the idea that data analysis should help in enhancing and augmenting knowledge of the domain as represented by the concepts and statements of relation between them. According to this view, two main pathways for data analysis are...

Effectively manage the security information and events produced by your network with help from this authoritative guide. Written by IT security experts, Security Information and Event Management (SIEM) Implementation shows you how to deploy SIEM technologies to monitor, identify,...

Effectively analyzing large volumes of diverse logs can pose many challenges. Logging and Log Management helps to simplify this complex process using practical guidance and real-world examples. Packed with information you need to know for system, network and security logging. Log management and log analysis methods are covered in...

Analyzing Microarray Gene Expression Data provides a comprehensive review of available methodologies for the analysis of data derived from the latest DNA microarray technologies. Designed for biostatisticians entering the field of microarray analysis...

As optical character recognition (OCR) begins to find applications ranging from store checkout scanners to money-changing machines and postal system automation, it has become one of the most dynamic areas in information science today. Yet few volumes explore this data-oriented process without relying heavily on mathematical background...

The past few decades have seen a proliferation of organizations that rely heavily on information technology. These organizations...

IT Security Metrics provides a comprehensive approach to measuring risks, threats, operational activities, and the effectiveness of data protection in your organization. The book explains how to choose and design effective measurement strategies and addresses the...

The book presents the following seven, carefully cross-reviewed chapters, written by leading authorities in the field: Self-adjusting: Computation with Delta ML,...

Automatic object recognition has become an established discipline in image analysis. Moments and moment invariants play a very important role as features in invariant recognition. They were introduced to the pattern recognition community almost 50 years ago and the mathematical background they utilized is even older, originating from the...

Mannino’s Database Design, Application Development, and Administration provides the information you need to learn relational databases. The book teaches students how to apply relational databases in solving basic and advanced database problems and cases. The fundamental database technologies of each processing environment are...

Beginning T-SQL is a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server database engine. T-SQL is essential in writing SQL statements to get data into and out of a database. T-SQL is the foundation for business logic embedded in the database in the form of stored procedures and functions....