Large-Scale Parallel Data Mining
Withthe unprecedented rate at which data is being collected today in almostall elds of human endeavor, there is an emerging economic and scientic need to extract useful information from it. For example, many companies already have data-warehouses inthe terabyte range (e.g., FedEx, Walmart).The WorldWide Web has an estimated 800 millionweb-pages. Similarly,scienti c data is rea- ing gigantic proportions (e.g., NASA space missions, Human Genome Project). High-performance, scalable, parallel, and distributed computing is crucial for ensuring system scalabilityand interactivityas datasets continue to grow in size and complexity. Toaddress thisnee…
Mehr
CHF 78.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
V103:
Folgt in ca. 5 Arbeitstagen
Produktdetails
Weitere Autoren: Zaki, Mohammed J. (Hrsg.)
- ISBN: 978-3-540-67194-7
- EAN: 9783540671947
- Produktnummer: 3486739
- Verlag: Springer Berlin Heidelberg
- Sprache: Englisch
- Erscheinungsjahr: 2000
- Seitenangabe: 272 S.
- Masse: H23.5 cm x B15.5 cm x D1.4 cm 417 g
- Auflage: 2000
- Abbildungen: Paperback
- Gewicht: 417
1 weiteres Werk von Ching-Tien (Hrsg.) Ho:
Bewertungen
Anmelden