Data mining is a sub-field of computer science. It involves the analysis of data from various perspectives. The already analyzed data is then summarized into useful information. The most popular and widespread open source data mining tool is RapidMiner. Reputable firms use this powerful technology to extract hidden information from large databases. RapidMiner is used for simple evaluations such as classification and clustering of analytical procedures, correlation analysis, dimension reduction, and parameter optimization.
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So How Does Data Mining Work?
The data mining software evaluates and analyzes the patterns of stored data. Based on the platform of open-ended user queries, the software also strives to find a relationship between the data. There are three main types of data mining analytical software:
- Machine learning
- Neural network
The aforementioned three types of analytical tools are used to draw the following relationships:
These are pre-determined groups used to locate the stored data. For example, a retailer has a record of customer purchases to help him/her determine the number of customers who have visited the shop, purchase patterns and many more.
Clusters refer to data grouped by logical relationships such as customer preferences. For example, market segments and consumer affinities which are determined by industry data mining.
Data mining is used to anticipate behavior pattern of customers and market trends.
This function identifies the probability of the co-occurrence of items in a collection. The relationship of these items is often expressed as association rules.
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