This collection of fifteen articles on advanced data mining technologies provides an overview of current scholarship in this increasingly important field of information management. Divided into sectio
Most of the existing research on association rules focuses on establishing common patterns and rules. Choosing instead to study outlier rules and patterns, the 15 papers in this collection explore rar
Explaining how to develop and evaluate decision support systems based on web data mining, computer scientists cover developing decision support systems, developing web mining systems, developing ef
Technical, business, and political fields are represented, as well as Europe, Asia, Africa, and the Americas, in discussions of how advanced computer management of information by governments impacts u
This work consists of 12 chapters by international researchers and practitioners in computer science and software engineering. The book opens with a survey of applications of evolutionary and bio-insp
Sharfrir and Etkind explore those parts of a universal digital library containing documents that communicate knowledge with controlled vocabularies of sub-languages mostly in the various disciplin
The 13 chapters in this collection survey current work in storing and analyzing data and using algorithms to search and discover new knowledge automatically from multidimensional data sets. Several co
Converting today's onslaught of information into usable knowledge is one of the main challenges facing us in the modern era. This volume covers a wide range of topics, from ontology learning to data m
Massive amounts of textual data make up most organizations' stored information. Therefore, there is increasingly high demand for a comprehensive resource providing practical hands-on knowledge for rea
Ontologies and formal representations of knowledge are extremely powerful tools for modeling and managing large applications in several domains ranging from knowledge engineering, to data mining, to
