Merkliste
Die Merkliste ist leer.
Der Warenkorb ist leer.
Kostenloser Versand möglich
Kostenloser Versand möglich
Bitte warten - die Druckansicht der Seite wird vorbereitet.
Der Druckdialog öffnet sich, sobald die Seite vollständig geladen wurde.
Sollte die Druckvorschau unvollständig sein, bitte schliessen und "Erneut drucken" wählen.
Contrast Data Mining
ISBN/GTIN

Contrast Data Mining

Concepts, Algorithms, and Applications
E-BookPDFDRM AdobeE-Book
Verkaufsrang159934inInformatik und EDV
CHF88.60

Beschreibung

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life ProblemsContrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to researchers and developers in data mining and
Weitere Beschreibungen

Details

Weitere ISBN/GTIN9781439854334
ProduktartE-Book
EinbandE-Book
FormatPDF
Format HinweisDRM Adobe
Erscheinungsdatum19.04.2016
Seiten434 Seiten
SpracheEnglisch
Dateigrösse4702 Kbytes
Artikel-Nr.14597725
KatalogVC
Datenquelle-Nr.280988
Weitere Details

Bewertungen

Autor

Guozhu Dong is a professor at Wright State University. A senior member of the IEEE and ACM, Dr. Dong holds four U.S. patents and has authored over 130 articles on databases, data mining, and bioinformatics; co-authored Sequence Data Mining; and co-edited Contrast Data Mining and Applications. His research focuses on contrast/emerging pattern mining and applications as well as first-order incremental view maintenance. He has a PhD in computer science from the University of Southern California.

James Bailey is an Australian Research Council Future Fellow in the Department of Computing and Information Systems at the University of Melbourne. Dr. Bailey has authored over 100 articles and is an associate editor of IEEE Transactions on Knowledge and Data Engineering and Knowledge and Information Systems: An International Journal. His research focuses on fundamental topics in data mining and machine learning, such as contrast pattern mining and data clustering, as well as application aspects in areas, including health informatics and bioinformatics. He has a PhD in computer science from the University of Melbourne.