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 Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference)Data mining, also referred to as knowledge discovery in databases (KDD), is a process of finding new, interesting, previously unknown, potentially useful, and ultimately understandable patterns from very large volumes of data. Data mining is a discipline which brings together database systems, statistics, artificial intelligence, machine learning,... | | Emerging Technologies of Text Mining: Techniques and ApplicationsAll around modern society, an enormous amount of strategic information is spread in many different presentation forms, like e-mail, formal and informal documents, historical reports, personal notes, Web pages, and so on. The access and transformation of this information in knowledge as a basis for decision making in the corporate world have become... | | Reaction-Diffusion Computers"(The authors) plans for a chemical brain might be over-ambitious - but not completely crazy. (...) (they are) likely to uncover new ideas that could help create better processors or reveal something about the way our brain works." New Scientist, 26 march 2005, p. 33
The book introduces a hot topic of novel and... |
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The Geometry of Information Retrieval"This is a very interesting book, which appears to provide a solid foundation for future research...van Rijsbergen's explanations are well written and logical. In addition, there are many pointers to other sources of relevant information. This book would be of particular interest to those conducting IR, Artificial Intelligence or Cognitive... | | Mobile Web Services: Architecture and ImplementationMobile Web services offer new possibilities and extraordinary rewards for the mobile telecommunications market.
Service-oriented architectures (SOAs) implemented with Web services are fundamentally changing business processes supported by distributed computing. These technologies bring forward the promise of... | | Creative Evolutionary Systems (With CD-ROM)This volume shows the current state of the art, and the science, of evolutionary creativity. It shows what can--and equally important, what can't--be done at the turn of the new millennium. What will have been achieved by the turn of the next one is anyone's guess. Meanwhile, it's intriguing, it's instructive, it's difficult, and it's fun!... |
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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics)Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty.... | | Biologically Inspired Artificial Intelligence for Computer GamesAs game developers a few years from now, we may look back at current generation AI with astonishment and possibly with a hint of nostalgia. We will notice the extreme simplicity of the systems and behaviours we created, asking ourselves whether it was in fact by design or more by necessity. More importantly, we will be surprised by the amount of... | | Genetic Programming Theory and Practice V (Genetic and Evolutionary Computation)Genetic Programming Theory and Practice V was developed from the fifth workshop at the University of Michigans Center for the Study of Complex Systems to facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming (GP). Contributions from the foremost international researchers and practitioners in... |
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