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Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. It is an essential process where intelligent methods are applied to extract data patterns. It is an interdisciplinary sub-field of computer science. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use.

How does it work?

Data mining software analyses the pattern of stored transaction data and evaluates the relationship between them. This evaluation is based on the platform of pen-ended user queries.

There are three types of data mining analytical software.

• Statistical
• Machine learning
• Neural network

Important things to highlight in data mining assignments:

• Classes
• Clusters
• Sequential Patterns
• Associations

Five factors to consider while writing data mining assignment:

• Extraction, transformation and loading of transaction data into the data warehouse system.
• Storing and managing data in a multi-dimensional database.
• Allowing access of data to information technology professionals and business analysts.
• Presenting data in the useful format of tables and graphs.

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