| Data Warehousing and Knowledge Discovery: 5th International Conference, Dawak 2003, Prague, Czech Republic, September 3-5,2003, Proceedings 2003 Edition Contributor(s): Kambayashi, Yahiko (Editor), Mohania, Mukesh (Editor), Wöß, Wolfram (Editor) |
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ISBN: 354040807X ISBN-13: 9783540408079 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: August 2003 Annotation: This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003. The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification. |
| Additional Information |
| BISAC Categories: - Computers | System Administration - Storage & Retrieval - Medical - Computers | Databases - General |
| Dewey: 658.403 |
| LCCN: 2003058589 |
| Series: Lecture Notes in Computer Science |
| Physical Information: 0.92" H x 6.14" W x 9.21" (1.40 lbs) 438 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: This book constitutes the refereed proceedings of the 5th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2003, held in Prague, Czech Republic in September 2003. The 41 revised full papers presented were carefully reviewed and selected from more than 130 submissions. The papers are organized in topical sections on data cubes and queries, multidimensional data models, Web warehousing, change detection, Web mining and association rules, association rules and decision trees, clustering, association rule mining, data analysis and discovery, ontologies and improving data quality, queries and data patterns, improving database query engines, and sampling and vector classification. |