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Data Warehousing and Knowledge Discovery: 13th International Conference, DaWaK 2011, Toulouse, France, August 29- September 2, 2011, Proceedings: Lecture Notes in Computer Science, cartea 6862

Editat de Alfredo Cuzzocrea, Umeshwar Dayal
en Limba Engleză Paperback – 19 aug 2011
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.
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Specificații

ISBN-13: 9783642235436
ISBN-10: 3642235433
Pagini: 512
Ilustrații: XIV, 498 p. 180 illus.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.71 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Textul de pe ultima copertă

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.

Caracteristici

Fast-track conference proceedings State-of-the-art research Up-to-date results

Cuprins

Data Warehouse Design Methodologies.- ETL Methodologies and Tools.- Multidimensional Data Processing and Management.- Data Warehouse and OLAP Extensions.- Data Warehouse Performance and Optimization.- Data-Mining and Knowledge-Discovery Techniques.- Data-Mining and Knowledge-Discovery Applications.- Pattern Mining.- Data Stream Mining.- Data Warehouse Confidentiality and Security.- Distributed Paradigms and Algorithms.