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» OLAP Query Processing in a Database Cluster
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EUROPAR
2004
Springer
13 years 10 months ago
OLAP Query Processing in a Database Cluster
OLAP queries are typically heavy-weight and ad-hoc thus requiring high storage capacity and processing power. In this paper, we address this problem using a database cluster which...
Alexandre A. B. Lima, Marta Mattoso, Patrick Valdu...
DEXA
2009
Springer
175views Database» more  DEXA 2009»
13 years 11 months ago
RoK: Roll-Up with the K-Means Clustering Method for Recommending OLAP Queries
Dimension hierarchies represent a substantial part of the data warehouse model. Indeed they allow decision makers to examine data at different levels of detail with On-Line Analyt...
Fadila Bentayeb, Cécile Favre
IDEAS
1999
IEEE
123views Database» more  IDEAS 1999»
13 years 9 months ago
Improving OLAP Performance by Multidimensional Hierarchical Clustering
Data-warehousing applications cope with enormous data sets in the range of Gigabytes and Terabytes. Queries usually either select a very small set of this data or perform aggregat...
Volker Markl, Frank Ramsak, Rudolf Bayer
ICDIM
2010
IEEE
13 years 2 months ago
Data mining and automatic OLAP schema generation
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
Muhammad Usman, Sohail Asghar, Simon Fong
VLDB
2002
ACM
98views Database» more  VLDB 2002»
13 years 4 months ago
Processing Star Queries on Hierarchically-Clustered Fact Tables
Star queries are the most prevalent kind of queries in data warehousing, OLAP and business intelligence applications. Thus, there is an imperative need for efficiently processing ...
Nikos Karayannidis, Aris Tsois, Timos K. Sellis, R...