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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 11th International Conference, RSFDGrC 2007, Toronto, Canada, May 14-16, 2007This book constitutes the refereed proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2007, held in Toronto, Canada in May 2007 in conjunction with the Second International Conference on Rough Sets and Knowledge Technology, RSKT 2007, both as part of the Joint Rough Set... | | | | Reliable Knowledge Discovery
With the rapid development of the data mining and knowledge discovery, a key
issue which could significantly affect the real world applications of data mining is
the reliability issues of knowledge discovery. It is natural that people will ask if the
discovered knowledge is reliable. Why do we trust the discovered knowledge? How... |
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Agent-Based Hybrid Intelligent SystemsMany complex problems, such as financial investment planning, involve many different components or sub-tasks, each of which requires different types of processing. To solve such complex problems, a great diversity of intelligent techniques, including traditional hard computing techniques (e.g., expert systems) and soft computing techniques (e.g.,... | | The Top Ten Algorithms in Data Mining
Identifying some of the most influential algorithms that are widely used in the data mining community, The Top Ten Algorithms in Data Mining provides a description of each algorithm, discusses its impact, and reviews current and future research. Thoroughly evaluated by independent reviewers, each chapter focuses on a... | | Intelligent Complex Adaptive Systems
I don’t believe in the existence of a complex systems theory as such and, so
far, I’m still referring to complex systems science (CSS) in order to describe
my research endeavours. In my view, the latter is constituted, up until now,
by a bundle of loosely connected methods and theories aiming to observe—
from... |
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