DS-Cuber

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DS-Cuber: an integrated OLAP environment for data streams

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Conference on Information and Knowledge Management archive
Proceeding of the 18th ACM conference on Information and knowledge management table of contents

Hong Kong, China

DEMONSTRATION SESSION: Demo session 1: stream data management and OLAP table of contents

Pages: 2067-2068

Year of Publication: 2009

ISBN:978-1-60558-512-3

Authors

Ho Jin Woo	Yonsei University, Seoul, South Korea
Se Jung Shin	Yonsei University, Seoul, South Korea
Woo Sock Yang	Yonsei University, Seoul, South Korea
Won Suk Lee	Yonsei University, Seoul, South Korea

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

ACM New York, NY, USA

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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.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Ralph Kimball , Margy Ross, The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling, John Wiley & Sons, Inc., New York, NY, 2002
	2	Y. Dora Cai , David Clutter , Greg Pape , Jiawei Han , Michael Welge , Loretta Auvil, MAIDS: mining alarming incidents from data streams, Proceedings of the 2004 ACM SIGMOD international conference on Management of data, June 13-18, 2004, Paris, France [doi>10.1145/1007568.1007695]
	3	Jiawei Han , Jian Pei , Guozhu Dong , Ke Wang, Efficient computation of Iceberg cubes with complex measures, Proceedings of the 2001 ACM SIGMOD international conference on Management of data, p.1-12, May 21-24, 2001, Santa Barbara, California, United States
	4	A. Neumaier. Introduction to numerical analysis. Cambridge University Press, pp.234--250, 2001.
	5	Woo Sock Yang , Won Suk Lee, On-line evaluation of a data cube over a data stream, Proceedings of the 8th conference on Applied computer scince, p.373-378, November 21-23, 2008, Venice, Italy