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What is Data Mining ?
Data mining is a method for extracting and detecting patterns in huge data sets that combines machine learning, statistics, and database systems. Data mining is a computer science and statistics field with the aim of extracting information from a data set and transforming it into an intelligible structure for subsequent use. It is the step of data analysis extracting the information from the database. It includes data management, data preprocessing, inference, post processing and visualization etc.
The aim of Data mining is to extract meaningful information from the large amount of data in the dataset. It helps growth organization by decision making through insightful data analysis. Two main purpose of data mining methods: first is, describe the dataset and second is that they can predict the output by using the machine learning algorithm. These methods are used to organise the data.
The difference between data analysis and data mining is that data analysis is used to test models and hypotheses on the dataset, e.g., analyzing the effectiveness of a marketing campaign, regardless of the amount of data; in contrast, data mining uses machine learning and statistical models to uncover clandestine or hidden patterns in a large volume of data.
Process of Data Mining
It includes the number of steps.
Objective
Data collection
Data Preparation
Model building and pattern mining
Evaluation model and implementation of knowledge
Data mining Homework Help
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