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» Implementing Data Cubes Efficiently
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VLDB
2001
ACM
139views Database» more  VLDB 2001»
14 years 2 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...
CASCON
2006
210views Education» more  CASCON 2006»
13 years 11 months ago
Accelerating marching cubes with graphics hardware
For large data sets in medicine and science, efficient isosurface extraction and rendering is crucial for interactive visualization. Previous GPU acceleration techniques have been...
Gunnar Johansson, Hamish Carr
VLDB
2007
ACM
179views Database» more  VLDB 2007»
14 years 10 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
HPDC
2010
IEEE
13 years 11 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...
PVLDB
2010
80views more  PVLDB 2010»
13 years 8 months ago
Using Sentinel Technology in the TARGIT BI Suite
This paper demonstrates so-called sentinels in the TARGIT BI Suite. Sentinels are a novel type of rules that can warn a user if one or more measure changes in a multi-dimensional ...
Morten Middelfart, Torben Bach Pedersen