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This book is intended to provide a general and comprehensible overview of the field of pattern mining with evolutionary algorithms. To do so, the book provides formal definitions about patterns, pattern mining, type of patterns, and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high-dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a hard process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions. The book also provides a survey on …