Epidemiology plays an all-important role in many areas of medicine, from discovering the relationship between tobacco smoking and lung cancer, to documenting the impact of diet, the environment, and exercise on general health, to tracking the origin and spread of new epidemics such as Swine Flu. It is truly a vital field, central to the...

Data Mining represents a complex of technologies that are rooted in many disciplines: mathematics, statistics, computer science, physics, engineering, biology, etc., and with diverse applications in a large variety of different domains: business, health care, science and engineering, etc. Basically, data mining can be seen as the science of...

BackTrack is a penetration testing and security auditing platform with advanced tools to identify, detect, and exploit any vulnerabilities uncovered in the target network environment. Applying appropriate testing methodology with defined business objectives and a scheduled test plan will result in robust penetration testing of your...

Similar to many research and application fields, geography has moved from a datapoor and computation-poor to a data-rich and computation-rich environment. The scope, coverage, and volume of digital geographic datasets are growing rapidly. Public and private sector agencies are creating, processing, and disseminating digital data on land use,...

Case-based reasoning (CBR) is an artificial intelligence approach whereby new problems are solved by remembering, adapting and reusing solutions to a previously solved, similar problem. The collection of previously solved...

I use the term logical and relational learning to refer to the subfield of artificial intelligence, machine learning and data mining that is concerned with learning in expressive logical or relational representations. It is the union of inductive logic programming, (statistical) relational learning and multi-relational data mining, which all...

Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of...

Cryptography has made a peculiar journey to become a modern science. It had long been associated with the military and with magic. The rst published work in the eld was Steganographia, by an alchemist named Trithemius. Although written earlier, the book was published in 1606. Cryptography has continued this connection with the arcane...

GIVEN THAT YOU’RE READING the introduction to a Wrox book about Ektron, you likely have (or will soon have) some level of technical responsibility for a website powered by the Ektron Framework. Maybe you’re tasked with the duty of maintaining an existing site and are looking for information to help make that process more...

This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and exciting research area. Of special interest are the recent methods for constraint-based...

Recognizing patterns is at the core of man's attempts to understand the universe that we inhabit. Through the development of sensors and instruments, we have extended our ability to gather data far beyond the range and scale of man's natural senses. As a result we are now able to gather data on phenomena occurring in the far reaches...

This volume collects the proceedings of two related international conferences on foundations and practical applications of mathematical methods of data analysis, of Formal Concept Analysis and of methods for information extraction from natural language texts. The first conference, named Knowledge - Ontology - Theory 2007 (KONT 2007),...