Time Series Data Analysis for Forecasting – A Literature Review

Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2014, Vol 4, Issue 7

Abstract

 In today's world there is ample opportunity to clout the numerous sources of time series data available for decision making. This time ordered data can be used to improve decision making if the data is converted to information and then into knowledge which is called knowledge discovery. Data Mining (DM) methods are being increasingly used in prediction with time series data, in addition to traditional statistical approaches. This paper presents a literature review of the use of DM and statistical approaches with time series data, focusing on weather prediction. This is an area that has been attracting a great deal of attention from researchers in the field.

Authors and Affiliations

Neelam Mishra , Er. Abhinav Jain

Keywords

Related Articles

 Hiding Data Transmission with High Security in Cloud Computing with Cloud Server

Cloud computing economically enables the paradigm of data service outsourcing. However, to protect data privacy, sensitive cloud data has to be encrypted before outsourced to the commercial public cloud, which makes effe...

 Modeling and Reduction of Root Fillet Stress in Spur Gear Using Stress Relieving Feature

 A gear is a component within a transmission device that transmits rotational forces. Gears are commonly used for transmitting power. Gear teeth failure due to fatigue is a common fact observed. Even a small red...

 Effect of SC5D Additive on the Performance and Emission Characteristics of CI Engine

 In this experimental work polymer based additive are mixed in different proportions with diesel fuel. Their emissions and performance results are compared with base fuel diesel. By mixing of this additive, it is ob...

 Use of Hydrocarbons and Other Blends as Refrigerant

 Abstract: This paper presents a study of different environmental friendly refrigerants of either hydrocarbon or Hydro fluoro carbons (HFC) class. Hydrocarbons (HCs) have zero ODP and very low GWP whereas HFCs have...

 Application of Finite Element Analysis Method to Investigate Effect of Blanking Process Variables on Sheet

 The present work consist of general framework for numerical simulation of sheet metal blanking process using finite element method. Blanking consist of a metal forming operation characterized by complete...

Download PDF file
  • EP ID EP121548
  • DOI -
  • Views 126
  • Downloads 0

How To Cite

Neelam Mishra, Er. Abhinav Jain (2014).  Time Series Data Analysis for Forecasting – A Literature Review. International Journal of Modern Engineering Research (IJMER), 4(7), 1-5. https://europub.co.uk/articles/-A-121548