Data Mining and Knowledge Discovery with Evolutionary Algorithms
Alex A. Freitas, G. RozenbergISBN: 3540433317;
This book presents a comprehensive review of basic concepts on both data mining and evolutionary algorithms and discusses significant advances in the integration of these two areas. The authors emphasize the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. In contrast, most rule induction methods perform a local, greedy search in the space of candidate rules. Intuitively, the global search of evolutionary algorithms can discover interesting rules and patterns that would be missed by the greedy search.
- OZON.ru 7438