Sciweavers

979 search results - page 13 / 196
» Issues in Developing Very Large Data Warehouses
Sort
View
IDEAS
2008
IEEE
105views Database» more  IDEAS 2008»
14 years 2 months ago
Pruning attribute values from data cubes with diamond dicing
Data stored in a data warehouse are inherently multidimensional, but most data-pruning techniques (such as iceberg and top-k queries) are unidimensional. However, analysts need to...
Hazel Webb, Owen Kaser, Daniel Lemire
VLDB
1998
ACM
112views Database» more  VLDB 1998»
13 years 11 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
DAWAK
2003
Springer
14 years 25 days ago
Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin
In a data warehouse (DW) environment, when the operational environment does not posses or does not want to inform the data about the changes that occurred, controls have to be impl...
Rosana L. de B. A. Rocha, Leonardo Figueiredo Card...
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
13 years 7 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
DOLAP
1999
ACM
13 years 12 months ago
Dealing with Slow-Evolving Fact: A Case Study on Inventory Data Warehousing
Data Warehousing for INventory management DWIN is a production project at Telcordia aimed at providing telecommunications service providers with decision support functions for i...
Chung-Min Chen, Munir Cochinwala, Elsa Yueh