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 Hybrid Methods in Pattern RecognitionThe discipline of pattern recognition has seen enormous progress since its beginnings more than four decades ago. Over the years various approaches have emerged, based on statistical decision theory, structural matching and parsing, neural networks, fuzzy logic, artificial intelligence, evolutionary computing, and others. Obviously, these... | | | | Linkage in Evolutionary Computation (Studies in Computational Intelligence)In recent years, the issue of linkage in GEAs has garnered greater attention and recognition from researchers. Conventional approaches that rely much on ad hoc tweaking of parameters to control the search by balancing the level of exploitation and exploration are grossly inadequate. As shown in the work reported here, such parameters tweaking based... |
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Data Mining for Business ApplicationsData Mining for Business Applications presents the state-of-the-art research and development outcomes on methodologies, techniques, approaches and successful applications in the area. The contributions mark a paradigm shift from “data-centered pattern mining” to “domain driven actionable knowledge discovery”... | | | | Information Flow and Knowledge Sharing, Volume 2 (Capturing Intelligence)Our goal in this book is to present our conceptualization of information and of knowledge, and to clarify the distinctions between these two concepts. Indeed, they are more than concepts. These two words convey a plurality of meanings and have a deep character that goes beyond pure conceptualizations. By emphasizing their distinctions, we do not... |
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