Event analyzer

Subscribe (Full Service)


	Search: The ACM Digital Library The Guide

	Feedback

Event analyzer: a tool for sequential data processing

Full text

Pdf (273 KB)

Source

Conference on Information and Knowledge Management archive
Proceedings of the twelfth international conference on Information and knowledge management table of contents

New Orleans, LA, USA

SESSION: Industry session 1: information retrieval table of contents

Pages: 172 - 174

Year of Publication: 2003

ISBN:1-58113-723-0

Authors

Lilian Harada	Fujitsu Laboratories Ltd., Kanagawa, Japan
Yuuji Hotta	Fujitsu Laboratories Ltd., Kanagawa, Japan
Naoki Akaboshi	Fujitsu Laboratories Ltd., Kanagawa, Japan
Kazumi Kubota	Fujitsu Laboratories Ltd., Kanagawa, Japan
Tadashi Ohmori	The University of Electro-Communications, Tokyo, Japan
Riichiro Take	Fujitsu Laboratories Ltd., Kanagawa, Japan

Sponsors

ACM: Association for Computing Machinery
SIGMIS: ACM Special Interest Group on Management Information Systems
SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 3, Downloads (12 Months): 35, Citation Count: 1

Additional Information:

abstract references cited by index terms collaborative colleagues

Tools and Actions:	Request Permissions Review this Article Save this Article to a Binder Display Formats: BibTeX EndNote ACM Ref

DOI Bookmark:	Use this link to bookmark this Article: http://doi.acm.org/10.1145/956863.956897 What is a DOI?

ABSTRACT

In this paper we present a tool called Event Analyzer that processes events that compose a sequence. We present the data model in which Event Analyzer is based, as well as its query language that allows the expression of complex patterns to be searched over the sequence of events. The Event Analyzer has been developed and it now integrates the Fujitsu Symfoware e-Business Intelligence Suite Premium.

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	Fujitsu Symfoware e-Business Intelligence Suite Premium http://software.fujitsu.com/jp/symfoware/products/ebisuite/ (in Japanese)
	2	Lilian Harada, Complex Temporal Patterns Detection over Continuous Data Streams, Proceedings of the 6th East European Conference on Advances in Databases and Information Systems, p.401-414, September 08-11, 2002
	3	Lilian Harada, An Efficient Sliding Window Algorithm for Detection of Sequential Patterns, Proceedings of the Eighth International Conference on Database Systems for Advanced Applications, p.73, March 26-28, 2003
	4	Raghu Ramakrishnan , Donko Donjerkovic , Arvind Ranganathan , Kevin S. Beyer , Muralidhar Krishnaprasad, SRQL: Sorted Relational Query Language, Proceedings of the 10th International Conference on Scientific and Statistical Database Management, p.84-95, July 01-03, 1998 [doi>10.1109/SSDM.1998.688114]
	5	Reza Sadri , Carlo Zaniolo , Amir Zarkesh , Jafar Adibi, Optimization of sequence queries in database systems, Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, p.71-81, May 2001, Santa Barbara, California, United States [doi>10.1145/375551.375563]
	6	Praveen Seshadri , Miron Livny , Raghu Ramakrishnan, SEQ: A Model for Sequence Databases, Proceedings of the Eleventh International Conference on Data Engineering, p.232-239, March 06-10, 1995