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Author: Admin | 2025-04-28

Data mining as an independent concept in 2001. Data mining gained its epitome of prominence in February 2015, when The White House of the United States Of America hired D.J. Patil as their data scientist.Methods Of Analysis In Data MiningThere are different methods of analytical observation in Data mining. They are as follows;Artificial Neural NetworksThese are the non-linear models of prediction that have a stark resemblance with the neural networks in biology when it comes to structuring.Genetic AlgorithmsGenetic algorithms refer to optimizing that utilizes the combination of genetics, natural selection, and mutation based on the concept of natural evolution.Induction Of RulesThe application of all the rules found via extraction is the ones found from the significance of statistics.Decision TreesThese are structures with the shape of trees that help in showing a set of decisions. These decisions help in generating rules for classifying a dataset.Chi-square Automatic Interaction Detection (CHAID), Classification and Regression Trees (CART).Classification and Regression tree works towards segmentation of the dataset by creating a spill that goes two ways.Chi-square Automatic Interaction Detection uses the chi-square tests to create splits in multiple directions.Method Of Nearest NeighbourThe nearest neighbor technique works towards classifying each record within a dataset. It depends on combining the classes of the k-records that have the highest similarity with the dataset. (K=1)Visualization Of DataData visualization refers to the interpretation of complex relationships via visuals within data with multi-dimensions.One of the substantial examples is the usage of graphical tools for the illustration purposes of data relationships.Also Read: Top 10 Data Mining Techniques for Business SuccessApplication Of Data MiningYou can establish data mining for your company via the feature of modeling. Modeling refers to the act of building a model that has an application to a particular situation, following which you can use that model in a different situation

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