DS-Cuber: an integrated OLAP environment for data streams

Authors:
Ho Jin Woo;Se Jung Shin;Woo Sock Yang;Won Suk Lee
Affiliations:
Yonsei University, Seoul, South Korea;Yonsei University, Seoul, South Korea;Yonsei University, Seoul, South Korea;Yonsei University, Seoul, South Korea
Venue:
Proceedings of the 18th ACM conference on Information and knowledge management
Year:
2009

Citing 4
Cited 1

Efficient computation of Iceberg cubes with complex measures

SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling

The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
MAIDS: mining alarming incidents from data streams

SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
On-line evaluation of a data cube over a data stream

ACS'08 Proceedings of the 8th conference on Applied computer scince

Space-time roll-up and drill-down into geo-trend stream cubes

ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Most of emerging applications deal with an infinite data stream in an incessant, immense and volatile manner. Consequently, it is very important to analyze not only the varying characteristics of a source data stream in a short-term period but also those in a long-term period. For this purpose, this paper demonstrates an OLAP system, DS-Cuber (Data Stream Cuber) for the analysis of data streams. The proposed system consists of two analytic components: short-term and long-term, so that it can provide an integrated analysis environment for infinite data streams. Furthermore, each of these two components supports diversified exception detection methods which can be used for the automatic identification of abnormality in the data elements of a data stream in order to guide the data cube navigation of a user effectively. Network traffic flow streams are used to demonstrate the features of the DS-Cube system.