In recent years, the use of Artificial Intelligence (AI) techniques has been greatly increased. The term “intelligence” seems to be a “must” in a large number of European and International project calls. AI Techniques have been used in almost any domain. Application-oriented systems usually incorporate some kind of “intelligence” by using techniques stemming from intelligent [...]
Praise for the First Edition:
“An excellent starting point for information professionals to gain a basic understanding of fundamental concepts, then move ahead with a guided path for further research and study.” –Art Documentation
Metadata, literally “data about data,” provides a means of indexing, accessing, preserving, and discovering digital resources. The volume of digital information available over [...]
R, an Open Source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including Medicine, Genetics, [...]
Data mining consists of attempting to discover novel and useful knowledge from data, trying to find patterns among datasets that can help in intelligent decision making. However, reports of real-world case studies are not generally detailed in the literature, due to the fact that they are usually based on proprietary datasets, making it impossible to [...]
Scheduling in Distributed Computing Systems: Analysis, Design and Models intends to inculcate the innovative ideas for the scheduling aspect. Although the models in this book are designed for distributed systems, the same information is applicable for any type of system (i.e., where distributed processing is required).
Scheduling in Distributed Computing Systems: Analysis, Design and Models will [...]
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