2018•Unpublished venueRequires access

Data Visualization as a Preprocessing Step in Designing of Data Mining Tools Visualizing Time Series Pattern of Rainfall Data

Manoj S. Chaudhari, Nitin K. Choudhari

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Abstract

Data visualization as a preprocessing step is important step in the designing of data mining tools. Visualization is necessary to perform analysis and visualize patterns, cycles, trends in the dataset. This paper discusses visualization of Rainfall dataset and study is presented on analyzing the time series dataset of Monthly Rainfall dataset of India and Maharashtra. The ARIMA Model is applied to visually analyze patterns in the dataset and suitable model is developed for further use in forecasting.

About this research paper

What this paper is about

Data visualization as a preprocessing step is important step in the designing of data mining tools. Visualization is necessary to perform analysis and visualize patterns, cycles, trends in the dataset. This paper discusses visualization of Rainfall dataset and study is presented on analyzing the time series dataset of Monthly Rainfall dataset of India and Maharashtra. The ARIMA Model is applied to visually analyze patterns in the dataset and suitable model is developed for further use in forecasting.

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Available abstract

Data visualization as a preprocessing step is important step in the designing of data mining tools. Visualization is necessary to perform analysis and visualize patterns, cycles, trends in the dataset. This paper discusses visualization of Rainfall dataset and study is presented on analyzing the time series dataset of Monthly Rainfall dataset of India and Maharashtra. The ARIMA Model is applied to visually analyze patterns in the dataset and suitable model is developed for further use in forecasting.

Key concepts: Visualization, Preprocessor, Computer science, Data mining, Autoregressive integrated moving average, Data pre-processing, Data visualization, Time series

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