60 search results - page 3 / 12 » Improved Data Partitioning for Building Large ROLAP Data Cub... |
HPDC
2005
IEEE
13 years 11 months ago
2005
IEEE
good data partitioning scheme is the need of the time. However it is very diflcult to arrive at a good solution as the number of possible dutupartitionsfor a given real lifeprogra...
ICDE
2008
IEEE
14 years 7 months ago
2008
IEEE
Aggregate measures summarizing subsets of data are valuable in exploratory analysis and decision support, especially when dependent aggregations can be easily specified and compute...
ICDE
2010
IEEE
14 years 16 days ago
2010
IEEE
— Massive data analysis on large clusters presents new opportunities and challenges for query optimization. Data partitioning is crucial to performance in this environment. Howev...
WWW
2011
ACM
13 years 18 days ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
VLDB
1991
ACM
13 years 9 months ago
1991
ACM
Shared nothing multiprocessor archit.ecture is known t.obe more scalable to support very large databases. Compared to other join strategies, a hash-ba9ed join algorithm is particu...