Data Warehousing and Knowledge Discovery
- Indbinding:
- Paperback
- Sideantal:
- 432
- Udgivet:
- 18. august 2004
- Størrelse:
- 155x24x235 mm.
- Vægt:
- 651 g.
- 8-11 hverdage.
- 21. november 2024
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Data Warehousing and Knowledge Discovery
Within thelastfewyears,datawarehousingandknowledgediscoverytechnology has established itself as a key technology for enterprises that wish to improve the quality of the results obtained from data analysis, decision support, and the automatic extraction of knowledge from data. The 6th InternationalConference on Data Warehousing and KnowledgeD- covery (DaWaK 2004) continued a series of successful conferences dedicated to this topic. Its main objective was to bring together researchers and practiti- ers to discuss research issues and experience in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. The conference focused on the logical and physical design of data wareho- ing and knowledge discovery systems. The scope of the papers covers the most recent and relevant topics in the areas of data cubes and queries, multidim- sionaldatamodels,XMLdatamining,datasemanticsandclustering,association rules, data mining techniques, data analysis and discovery, query optimization, datacleansing,datawarehousedesignandmaintenance,andapplications.These proceedings contain the technical papers selected for presentation at the conf- ence. We received more than 100 papers, including 12 industrial papers, from over 33 countries, and the program committee ?nally selected 40 papers. The conf- ence program included an invited talk by Kazuo Iwano, IBM Tokyo Research Lab, Japan. We would like to thank the DEXA 2004 Workshop General Chairs (Prof.
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Bogen Data Warehousing and Knowledge Discovery findes i følgende kategorier:
- Business og læring > Computer og IT
- Litteratur og litteraturstudier
- Reference, information og tværfaglige emner > Forskning og information: generelt > Informationsteori
- Databehandling og informationsteknologi > Computere og hardware > Netværkskomponenter
- Databehandling og informationsteknologi > Programmering / softwareudvikling > Algoritmer og datastrukturer
- Databehandling og informationsteknologi > Databaser > Data warehouse
- Databehandling og informationsteknologi > Databaser > Informationssøgning og informationsgenfinding
- Databehandling og informationsteknologi > Anvendt databehandling
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens
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