A Novel Time Series Forecasting Approach Considering Data Characteristics

E-ISSN： 1947-8216|5|3|46-53

ISSN： 1947-8208

Source： International Journal of Knowledge and Systems Science (IJKSS), Vol.5, Iss.3, 2014-07, pp. : 46-53

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

A Novel Hybridization of ARIMA, ANN, and K-Means for Time Series Forecasting

International Journal of Knowledge and Systems Science (IJKSS), Vol. 8, Iss. 4, 2017-10 ,pp. : 30-53

IGI Global_journal

Access to resources Recommend Favorite

An Efficient Time Series Forecasting Method Exploiting Fuzziness and Turbulences in Data

International Journal of Fuzzy System Applications (IJFSA), Vol. 6, Iss. 4, 2017-10 ,pp. : 83-98

IGI Global_journal

Access to resources Recommend Favorite

PATTERN MODELLING IN TIME-SERIES FORECASTING

By Singh Sameer

Cybernetics and Systems, Vol. 31, Iss. 1, 2000-01 ,pp. : 49-65

Taylor & Francis Ltd

Access to resources Recommend Favorite

Forecasting models for prediction in time series

By Carpinteiro Otávio

Artificial Intelligence Review, Vol. 38, Iss. 2, 2012-08 ,pp. : 163-171

Springer Publishing Company

Access to resources Recommend Favorite

HYBRID GREY RELATIONAL ARTIFICIAL NEURAL NETWORK AND AUTO REGRESSIVE INTEGRATED MOVING AVERAGE MODEL FOR FORECASTING TIME-SERIES DATA

By Sallehuddin Roselina Hj. Shamsuddin Siti

Applied Artificial Intelligence, Vol. 23, Iss. 5, 2009-05 ,pp. : 443-486

Taylor & Francis Ltd

Access to resources Recommend Favorite