NDLI: State-based Time-Series Analysis and Prediction

Content Provider	IEEE Xplore Digital Library
Author	Jixin Ma
Copyright Year	2007
Description	Author affiliation: Univ. of Greenwich, London (Jixin Ma)
Abstract	Time representation and temporal reasoning plays an important role in time-series analysis and prediction, which involve dealing with varying situations in terms of states of the world evolving with time. Generally speaking, the world in the discourse persists in a given state until some action(s) is carried out, or some event(s) occurs, to change it into another state. This paper presents a framework for prediction and analysis based on time-series of states. It takes a time theory that addresses both points and intervals as primitive time elements on an equal footing as the temporal basis. A state of the world under consideration is defined as a set of time-varying propositions that include properties, facts, actions, events, processes and anything else with Boolean truth-values that are dependent on time. A time-series of states is then defined as a list of states temporally ordered one after another. The framework supports explicit expression of both absolute and relative temporal knowledge. While a formal schema for expressing general time-series of states is given, allowing a time-series of states to be incomplete in various ways, the concept of complete time-series of states is also formally introduced. As the application of the proposed formalism in prediction and time-series analysis, illustrating examples are provided.
Starting Page	227
Ending Page	232
File Size	358748
Page Count	6
File Format	PDF
ISBN	9780769529097
DOI	10.1109/SNPD.2007.363
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-07-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Concurrent computing Time series analysis Calculus Data models Computer networks Logic Artificial intelligence Distributed computing Software engineering Context modeling
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
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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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