Is the process of analyzing data from different perspectives and summarizing it into useful information information that can be used to increase revenue cuts costs or both?

Data mining also called data or knowledge discovery means analyzing data from different perspectives and summarizing it into useful information – information that we can use to make important decisions.

What are the different types of data mining?

Types of Data Mining

• Predictive Data Mining.
• Descriptive Data Mining.
• CLASSIFICATION ANALYSIS.
• REGRESSION ANALYSIS.
• Time Serious Analysis.
• Prediction Analysis.
• Clustering Analysis.
• SUMMARIZATION ANALYSIS.

What is the data mining process?

Data Mining is a process to identify interesting patterns and knowledge from a large amount of data. In these steps, intelligent patterns are applied to extract the data patterns. The data is represented in the form of patterns and models are structured using classification and clustering techniques.

What is data mining identify three commonly used data mining techniques?

Important Data mining techniques are Classification, clustering, Regression, Association rules, Outer detection, Sequential Patterns, and prediction. R-language and Oracle Data mining are prominent data mining tools and techniques. Data mining technique helps companies to get knowledge-based information.

What is data integration in Analytics?

Data integration is the practice of consolidating data from disparate sources into a single dataset with the ultimate goal of providing users with consistent access and delivery of data across the spectrum of subjects and structure types, and to meet the information needs of all applications and business processes.

What is data analysis and interpretation?

Data analysis and interpretation is the process of assigning meaning to the collected information and determining the conclusions, significance, and implications of the findings. The standard deviation, in conjunction with the mean, provides a better understanding of the data.