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» Rank Selection in Multidimensional Data
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VLDB
2009
ACM
130views Database» more  VLDB 2009»
14 years 7 months ago
Multi-dimensional top-k dominating queries
Abstract The top-k dominating query returns k data objects which dominate the highest number of objects in a dataset. This query is an important tool for decision support since it ...
Man Lung Yiu, Nikos Mamoulis
DAWAK
2005
Springer
14 years 1 months ago
A Tree Comparison Approach to Detect Changes in Data Warehouse Structures
Abstract. We present a technique for discovering and representing changes between versions of data warehouse structures. We select a tree comparison algorithm, adapt it for the par...
Johann Eder, Christian Koncilia, Karl Wiggisser
VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 7 months ago
Mining Approximate Top-K Subspace Anomalies in Multi-Dimensional Time-Series Data
Market analysis is a representative data analysis process with many applications. In such an analysis, critical numerical measures, such as profit and sales, fluctuate over time a...
Xiaolei Li, Jiawei Han
SIGMOD
2008
ACM
193views Database» more  SIGMOD 2008»
14 years 7 months ago
ARCube: supporting ranking aggregate queries in partially materialized data cubes
Supporting ranking queries in database systems has been a popular research topic recently. However, there is a lack of study on supporting ranking queries in data warehouses where...
Tianyi Wu, Dong Xin, Jiawei Han
GI
1998
Springer
13 years 11 months ago
An Efficient Strategy for Tiling Multidimensional OLAP Data Cubes
Computing aggregates over selected categories of multidimensional discrete data (MDD) cubes is the core operation of many on-line analytical processing (OLAP) systems. In order to...
Paolo Marques, Paula Furtado, Peter Baumann