This book explores the principal techniques of data mining: for classification, generation of association rules and clustering. It is written for readers without a strong background in mathematics or statistics and focuses on detailed examples and explanations of the algorithms given.
The proceedings provide a major interdisciplinary forum for researchers and engineers to present the most innovative studies and advances, which can serve as an excellent reference work for researchers and graduate students working on information technology and software engineering.
Libraries have always been an inspiration for the standards and technologies developed by semantic web activities. Kruk and McDaniel present semantic web-related aspects of current digital library activities, and introduce their functionality.
The contributors here offer a concise vision of semantic knowledge management, ranging from knowledge acquisition to knowledge integration, and their applications in domains such as telecommunications, social networks and legal information processing.
This investigation of novel, model-based techniques for semantic search on the Web shows how these new methods, using the extra data to be found on the Semantic Web, augment and improve traditional search results based on information retrieval technology.
With information retrieval a growing field of research, teaching it requires new resources. This book aims to provide theoretical and practical ideas for teaching IR, a topic which has up to now suffered from a lack of literature on its pedagogical aspects.