首先分析了空间数据挖掘和知识发现(SDMKD) 的内涵和外延; 然后分别研究了用于SDMKD
的概率论, 证据理论, 空间统计学, 规则归纳, 聚类分析, 空间分析, 模糊集, 云理论, 粗集 …

Metaheuristics are the most exciting development in approximate optimization techniques of
the last two decades. They have had widespread successes in attacking a variety of difficult …

Rapid developments in the field of genetic algorithms along with the popularity of the first
edition precipitated this completely revised, thoroughly updated second edition of The …

Computational Modelling in Psychology introduces the principles of using computational
models in psychology and provides a clear idea about how model construction, parameter …

Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives
to more classical techniques to model environmental systems. We review some of them and …

The choice of genetic operators and representations has proven critical to the performance
of genetic algorithms (GAs), because they comprise dual aspects of the same process: the …

Traditional clustering partitions a group of objects into a number of nonoverlapping sets
based on a similarity measure. In real world, the boundaries of these sets or clusters may not …

Breast masses due to benign disease and malignant tumors related to breast cancer differ in
terms of shape, edge-sharpness, and texture characteristics. In this study, we evaluate a set …

The modern science is still striving to develop consciousness-based machine. In the last
century, enormous industrial and technological developments had taken place. Technology …

The study offers an introduction to the paradigm, concepts and algorithms of Computational
Intelligence (CI). We elaborate on the main technologies of CI: neural networks, fuzzy sets or …