Biologically-Inspired Techniques for Knowledge Discovery and Data Mining
Seiten
2014
Idea Group,U.S. (Verlag)
978-1-4666-6078-6 (ISBN)
Idea Group,U.S. (Verlag)
978-1-4666-6078-6 (ISBN)
Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems.
Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques.
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.
Biologically-inspired data mining has a wide variety of applications in areas such as data clustering, classification, sequential pattern mining, and information extraction in healthcare and bioinformatics. Over the past decade, research materials in this area have dramatically increased, providing clear evidence of the popularity of these techniques.
Biologically-Inspired Techniques for Knowledge Discovery and Data Mining exemplifies prestigious research and shares the practices that have allowed these areas to grow and flourish. This essential reference publication highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems. Providing quality work from established researchers, this publication serves to extend existing knowledge within the research communities of data mining and knowledge discovery, as well as for academicians and students in the field.
Shafiq Alam University of Auckland, New Zealand
| Erscheint lt. Verlag | 7.7.2014 |
|---|---|
| Reihe/Serie | Advances in Data Mining and Database Management |
| Verlagsort | Harrisburg, PA |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 800 g |
| Themenwelt | Schulbuch / Wörterbuch ► Unterrichtsvorbereitung ► Unterrichts-Handreichungen |
| Informatik ► Datenbanken ► Data Warehouse / Data Mining | |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften ► Pädagogik | |
| ISBN-10 | 1-4666-6078-3 / 1466660783 |
| ISBN-13 | 978-1-4666-6078-6 / 9781466660786 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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