Volume 17, No. 2, 2020
Automated Data Pre-Processing Using Flask Framework
T.MAMATHA , B. RAMA SUBBA REDDY , C SHOBA BINDU
Abstract
Pre-processing of the data addresses the solutions for inaccurate data in two major fields in the current day computer science– Machine learning and Data mining. Data, in real world scenarios, that had taken from direct sources is often prone to errors, inaccuracies and inconsistencies and incomplete. These datasets are not considered to be used in data mining and Machine learning algorithms as inaccurate data often misleads the results of algorithms. Poor quality of the data leads to poor decision as a decision can be no better than the information upon which it’s based. Critical decisions and important calculations that might serve a key purpose in the evaluation might get corrupted. Pre-processing of the data resolves the issues and ensure the data is much more suitable as input for the algorithms.
Pages: 995-1004
Keywords: Datasets, data pre-processing, web application, flask framework, data cleaning, data reduction, null values, categorical data, data encoding, splitting dataset, python