Data Preprocessing in Data Mining

Data analysis is now integral to our working lives. It is the basis for investigations in many fields of knowledge, from science to engineering and from management to process control. Data on a particular topic are acquired in the form of symbolic and numeric attributes. Analysis of these data gives a better understanding of the phenomenon of interest. When development of a knowledge-based system is planned, the data analysis involves discovery and generation of new knowledge for building a reliable and comprehensive knowledge base. What is Data Preprocessing Exploratory data analysis and predictive analytics can be used to extract hidden patterns from data and are becoming increasingly important tools to transform data into information. Real-world data is generally incomplete and noisy, and is likely to contain irrelevant and redundant information or errors. Data preprocessing, which is an important step in data mining processes, helps transform the raw data to an understandable format. Data pre-processing is an important step in the data mining process. It describes any type of processing performed on raw data to prepare it for another processing procedure. Data preprocessing transforms the data into a format that will be more easily and effectively processed for the purpose of the…

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