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Prediction Technique for Time Series Data Sets Using Regression Models

  • Pinki Sagar
  • Prinima Gupta
  • Indu Kashyap
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 955)

Abstract

Data mining techniques are the set of algorithms intended to find the hidden knowledge from the data sets, some of the popular techniques of data mining are prediction, sequential patterns, association, classification, clustering, and decision tree. Classification and regression are used for forecasting. Regression algorithms are based on various regression model i.e. linear regressions, non-linear regression, multiple regressions, logistic regression, and probabilistic regression. Forecasting of time series data sets with improved parameters has been discussed in the proposed methodology. For preprocessing the data set, sliding window or classification algorithms are used. Then coefficients values for the regression model are identified to fit the regression model.

Keywords

Data mining Prediction Linear regression Non linear Stream data Time series data 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Pinki Sagar
    • 1
  • Prinima Gupta
    • 1
  • Indu Kashyap
    • 2
  1. 1.Manav Rachna UniversityFaridabadIndia
  2. 2.Manav Rachna International Institute of Research and StudiesFaridabadIndia

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