2013International Journal of Managment, IT and EngineeringRequires access

Effectiveness evaluation of regression models for predictive data-mining

P. N. Chatur, Anish R. Khobragade, Deepak S. Asudani

Open publisher page 3 citations

Abstract

In predictive data mining, the choice of technique to use in analysing a data set depends on the understanding of the analyst. In most cases, a lot of time is wasted in trying every single prediction technique in a bid to find the best solution that fits the analyst's needs. Hence, with the advent of improved and modified prediction techniques, there is a need for an analyst to know which tool performs best for a particular type of data set.

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What this paper is about

In predictive data mining, the choice of technique to use in analysing a data set depends on the understanding of the analyst. In most cases, a lot of time is wasted in trying every single prediction technique in a bid to find the best solution that fits the analyst's needs. Hence, with the advent of improved and modified prediction techniques, there is a need for an analyst to know which tool performs best for a particular type of data set.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In predictive data mining, the choice of technique to use in analysing a data set depends on the understanding of the analyst. In most cases, a lot of time is wasted in trying every single prediction technique in a bid to find the best solution that fits the analyst's needs. Hence, with the advent of improved and modified prediction techniques, there is a need for an analyst to know which tool performs best for a particular type of data set.

Key concepts: Computer science, Data mining, Data set, Set (abstract data type), Predictive modelling, Regression analysis, Predictive analytics, Regression

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