Paper Title
A LITERATURE SURVEY OF TIME SERIES FORECASTING APPROACHES
Article Identifiers
Registration ID: IJNRD_201577
Published ID: IJNRD2307349
DOI: http://doi.one/10.1729/Journal.35361
Authors
Smitkumar Arvindbhai Patel
Keywords
Abstract
This literature review offers a comprehensive analysis of time series forecasting techniques. It explores traditional methods such as autoregressive integrated moving average (ARIMA) and exponential smoothing, focusing on their strengths and limitations. The review discusses challenges in forecasting, including model selection and uncertainty estimation. It also highlights emerging trends in the field, such as the integration of external factors and ensemble methods. This review provides valuable insights for researchers and practitioners seeking a deeper understanding of time series forecasting and its potential applications.
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How To Cite
"A LITERATURE SURVEY OF TIME SERIES FORECASTING APPROACHES", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 7, page no.d436-d441, July-2023, Available :https://ijnrd.org/papers/IJNRD2307349.pdf
Issue
Volume 8 Issue 7, July-2023
Pages : d436-d441
Other Publication Details
Paper Reg. ID: IJNRD_201577
Published Paper Id: IJNRD2307349
Downloads: 000121332
Research Area: Computer Science & TechnologyÂ
Country: Mehsana, Gujarat, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2307349.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307349
DOI: http://doi.one/10.1729/Journal.35361
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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