Adaptive Demand-Forecasting Approach Based on Principal Components Time-Series: An Application of Data-Mining Technique to the Detection of Market Movement

International Journal of Management and Decision Making - United Kingdom
doi 10.1504/ijmdm.2002.002470
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Inderscience Publishers

Related search

Demand Forecasting Based on the Set of Short Time Series

Scientific Journal of Riga Technical University. Computer Sciences
2010English

Forecasting Multiple Time Series With One-Sided Dynamic Principal Components

Journal of the American Statistical Association
UncertaintyStatisticsProbability
2019English

Forecasting Algorithm Adaptive Automatically to Time Series Length

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2014English

An Approach to Represent Time Series Forecasting via Fuzzy Numbers

2014English

A Novel Time Series Forecasting Approach Considering Data Characteristics

International Journal of Knowledge and Systems Science
Information SystemsOrganizational BehaviorHuman Resource ManagementStrategyManagementInnovationManagement of TechnologyArtificial Intelligence
2014English

An Artificial Neural Network-Genetic Based Approach for Time Series Forecasting

English

Application of Data Mining Technology Based on Wireless Sensor Networks in Oceanographic Forecasting

International Journal of Online Engineering
EngineeringE-learning
2018English

Forecasting Daily Time Series Using Periodic Unobserved Components Time Series Models

Computational Statistics and Data Analysis
StatisticsProbabilityApplied MathematicsComputational TheoryComputational MathematicsMathematics
2006English

Mining Big Time-Series Data on the Web

2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy