NDLI: A unified framework for monitoring data streams in real time

Content Provider	IEEE Xplore Digital Library
Author	Bulut, A. Singh, A.K.
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. Sci., UC Santa Barbara, CA, USA (Bulut, A.; Singh, A.K.)
Abstract	Online monitoring of data streams poses a challenge in many data-centric applications, such as telecommunications networks, traffic management, trend-related analysis, Web-click streams, intrusion detection, and sensor networks. Mining techniques employed in these applications have to be efficient in terms of space usage and per-item processing time while providing a high quality of answers to (1) aggregate monitoring queries, such as finding surprising levels of a data stream, detecting bursts, and to (2) similarity queries, such as detecting correlations and finding interesting patterns. The most important aspect of these tasks is their need for flexible query lengths, i.e., it is difficult to set the appropriate lengths a priori. For example, bursts of events can occur at variable temporal modalities from hours to days to weeks. Correlated trends can occur at various temporal scales. The system has to discover "interesting" behavior online and monitor over flexible window sizes. In this paper, we propose a multi-resolution indexing scheme, which handles variable length queries efficiently. We demonstrate the effectiveness of our framework over existing techniques through an extensive set of experiments.
Sponsorship	IEEE Comput. Soc. Database Soc. of Japan (DBSJ) Inf. Process. Soc. of Japan (IPSJ) Inst. of Electron., Inf. and Commun. Eng. (IEICE)
Starting Page	44
Ending Page	55
File Size	326058
Page Count	12
File Format	PDF
ISBN	0769522858
ISSN	10844627
DOI	10.1109/ICDE.2005.13
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-05
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computerized monitoring Application software Telecommunication traffic Telecommunication network management Indexing Intelligent networks Computer science Computer network management Intrusion detection Aggregates
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Software

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