NDLI: Predictive Queries Algorithm Based on Probability Model over Data Streams

Content Provider	IEEE Xplore Digital Library
Author	Guohui Li Hui Chen Bing Yang Gang Chen Jun Xiang
Copyright Year	2007
Description	Author affiliation: Huazhong Univ. of Sci. & Technol., Wuhan (Guohui Li; Hui Chen; Bing Yang; Gang Chen; Jun Xiang)
Abstract	Mining the evolving trends of an online data stream and forecasting the data values in the future can provide important support for the decision-making in many time-sensitive applications. This paper models an online data stream as a continuous state transitions process by mapping the possibly infinite stream data into finite states, and uses state transition disGraph (STG) to maintain the track of the state transactions. By studying the statistic information of the history state transitions, the future values can be predicted based on the theory of Markov chain. Extensive simulation experiments are conducted and show that the predictive performance of our method is preferable to that of the existing analogous algorithms.
Starting Page	256
Ending Page	260
File Size	342303
Page Count	5
File Format	PDF
ISBN	9780769528755
DOI	10.1109/ICNC.2007.566
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Decision making Predictive models Prediction algorithms Sensor systems and applications Technology forecasting History Application software Statistics Monitoring
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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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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