K gorton (16 Ergebnisse)

Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In poor condition, suitable as a reading copy. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:047190077X.…

Hardcover. Zustand: Very Good. Unread. In stock ready to dispatch from the UK.

Zustand: Very Good.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Paperback. Zustand: Brand New. 182 pages. 8.50x5.51x0.45 inches. In Stock.

Paperback. Zustand: Brand New. 236 pages. 8.50x5.51x0.52 inches. In Stock.

Zustand: New. Num Pages: 192 pages, biography. BIC Classification: APFA; JFC; JMAF. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 216 x 140 x 14. Weight in Grams: 397. . 2008. 2008th Edition. hardcover. . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Theorizing Desire | From Freud to Feminism to Film | K. Gorton | Taschenbuch | x | Englisch | 2008 | Palgrave MacMillan UK | EAN 9781349542161 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: New. In English.

Zustand: New. Describes principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Editor(s): Gorton, Ian; Gracio, Deborah K. Num Pages: 297 pages, 82 b/w illus. 8 tables. BIC Classification: UN. Category: (U) Tertiary Education (US: College). Dimension: 236 x 153 x 21. Weight in Grams: 520. . 2012. hardcover. . . . . Books ship from the US and Ireland. …

Hardcover. Zustand: Brand New. 312 pages. 9.10x0.80x6.00 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice. This reference for computing professionals and researchers describes the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Applications in bioinformatics and cybersecurity illustrate these principles in practice.…

Zustand: Assez bon. Merci, votre achat aide à financer des programmes de lutte contre l'illettrisme.