Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Austrian Post 5.49 € DPD courier 3.99 € DPD point 2.99 €

Contact

How to shop

Help

My account

▸ Empty :-(

Data Warehousing and Knowledge Discovery

Name: Data Warehousing and Knowledge Discovery
Brand: Springer, Berlin
SKU: 01658714
Price: 53.79 EUR
Availability: InStock
Author: Alfredo Cuzzocrea
ISBN: 9783642235436

13th International Conference, DaWaK 2011, Toulouse, France, August 29- September 2, 2011, Proceedings

Alfredo Cuzzocrea

Umeshwar Dayal

Language

English

Book Paperback

Libristo code: 01658714

Publishers Springer, Berlin, November 2010

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehous... Full description

Libristo code: 01658714

132 b

53.79 € VAT included

In stock at our supplier Shipping in 5-8 days

Delivery to Austria

30-day return policy

Customers also purchased

Das Spannungsverhältnis zwischen dem sozialen Schutz der Arbeitnehmer und den wirtschaftlichen Interessen der Verleiher und der Entleiher bei der Arbe Frank Hempel

Paperback

49.90 €

Die Kriegsflotten der griechischen Städte im römischen Herrschaftsbereich (2.-1. Jahrhundert v. Chr.), 2 Teile Daniel Kah

Hardback

206.49 €

Atlas Lluniau Mawr Sian Lewis

Hardback

19.09 €

Carte De Activitati Montessori. in Gradina fara autor

Adobe ePub DRM

3.89 €

Improvers Yoga - Yoga 2 Hear Sue Fuller Audiobook

MP3

13.59 €

Hanseaten Matthias Wegner

Paperback

14.95 €

Grafikdesign Kurs David Dabner

Paperback

33.99 €

Bis Zum Nullpunkt Des Seins Kurd Laßwitz

Paperback

8.90 €

Die homerische Textkritik im Altertum Jacob La Roche

Paperback

42.50 €

This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed and selected from 119 submissions. The papers are organized in topical sections on physical and conceptual data warehouse models, data warehousing design methodologies and tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.