Anzeige
Erschienen in:
2008 | OriginalPaper | Buchkapitel
Data Mining and Genetic Algorithms: Finding Hidden Meaning in Biological and Biomedical Data
verfasst von : Christopher M. Taylor, Arvin Agah
Erschienen in: Computational Intelligence in Biomedicine and Bioinformatics
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
The amount of biological and biomedical data being accumulated continues to grow at incredible rates. Having tools that can search through these enormous databases is of critical importance to the advancement of research. Data mining is a field of research in Computer Science that specializes in examining large collections of data and extracting patterns that occur within the data. One useful technique for performing data mining is through a genetic algorithm, a process that mimics evolution. This chapter highlights data mining and the genetic algorithm technique, and it also lists many applications where data mining tools have been beneficial to biological and biomedical researchers, and lists some of the available data mining tools.