NDLI: Incremental Quantization for Aging Data Streams

Content Provider	IEEE Xplore Digital Library
Author	Altiparmak, Fatih Chiu, David Ferhatosmanoglu, Hakan
Copyright Year	2007
Abstract	A growing number of applications have become reliant or can benefit from monitoring data streams. Data streams are potentially unbounded in size, hence, Data Stream Man- agement Systems generally maintain a "sliding window" containing the N most recent elements. In an environment where the number of stream sources can vary, the amount of storage available to hold the sliding window can reduce dramatically. However, it has already been noted that as data becomes older their relevance tends to diminish un- til they are ultimately discarded from the sliding window. Based on this assumption, we propose to "wound" older data elements by relaxing their storage requirements as an effort constantly free enough space to keep pace with accu- rate representation of incoming elements in a process that we call aging. We propose two incremental quantization techniques that enable aging in an efficient manner. We will show that, by relaxing storage utilization of the summary created by our quantizers, the older data elements are not rendered useless. In fact, we will show that their accuracy is only lessened by a sustainable amount.
Starting Page	527
Ending Page	532
File Size	236466
Page Count	6
File Format	PDF
ISBN	9780769530192
DOI	10.1109/ICDMW.2007.20
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Histograms Conferences Quantization Aging Wounds Maintenance engineering Data engineering Data mining Application software
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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