What is Data Mining?

What is Data Mining?

What is Data Mining?

Data mining is a technology that blends traditional data analysis methods with sophisticated algorithms for processing large volumes of data. This is a process of extracting implicit, unknown and potentially meaningful information from data. Exploration & Analysis, by automatic or semi-automatic means, large quantities of data to discover meaningful patterns.

Tasks and features of Data mining

1) Prediction Methods

• Mainly for prediction. Learn from some variables, then predict unknown or future values of other variables.
• X -> y 2) Description Methods
• Find human-interpretable patterns that describe the data
• Regression, correlation, and graphs

Supervised learning – prediction of given target variable using other features of the dataset.

1) Regression problems Target: Continuous/ Numeric variables Example of Regression

• Multivariate regression

2) Classification problems Target: Categorical variables Examples of Classification

• Logistic Regression
• Decision tree
• Rule-based
• Ensemble
• Artificial Neural Networks (ANN)
• Support Vector Machine

Unsupervised learning – a set of statistical tools to better understand and describe the data, but performs the analysis without a target variable

1) Association analysis Finding relationships between categorical variables Examples of Association analysis

• ‘Apriori’ Algorithm

2) Dimension reduction Grouping by columns

• Principal Components Analysis

3) Clustering Grouping by rows

• K-means clustering
• Hierarchical clustering
• DBSCAN
• Graph-based clustering

Warmest regards,

This is the first post to explain massive amount of information of data mining. Hope you enjoyed, and please stay tuned for next uploads!