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SIGMOD
1998
ACM
121views Database» more  SIGMOD 1998»
14 years 1 months ago
New Sampling-Based Summary Statistics for Improving Approximate Query Answers
In large data recording and warehousing environments, it is often advantageous to provide fast, approximate answers to queries, whenever possible. Before DBMSs providing highly-ac...
Phillip B. Gibbons, Yossi Matias
HPDC
2010
IEEE
13 years 10 months ago
Distributing the power of OLAP
In this paper we present the Brown Dwarf, a distributed system designed to efficiently store, query and update multidimensional data over an unstructured Peer-to-Peer overlay, wit...
Katerina Doka, Dimitrios Tsoumakos, Nectarios Kozi...
DEBU
2010
129views more  DEBU 2010»
13 years 6 months ago
Flash in a DBMS: Where and How?
Over the past decade, new solid state storage technologies, with flash being the most mature one, have become increasingly popular. Such technologies store data durably, and can a...
Manos Athanassoulis, Anastasia Ailamaki, Shimin Ch...
IPPS
2003
IEEE
14 years 2 months ago
Parallel ROLAP Data Cube Construction On Shared-Nothing Multiprocessors
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
Ying Chen, Frank K. H. A. Dehne, Todd Eavis, Andre...
SIGMOD
2004
ACM
144views Database» more  SIGMOD 2004»
14 years 9 months ago
Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data
Data items archived in data warehouses or those that arrive online as streams typically have attributes which take values from multiple hierarchies (e.g., time and geographic loca...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...