What is data mining explain with a suitable example?

Data mining is the process of analyzing massive volumes of data to discover business intelligence that helps companies solve problems, mitigate risks, and seize new opportunities. Data mining is used in many areas of business and research, including sales and marketing, product development, healthcare, and education.

What is data mining subject?

Data mining involves exploring and analyzing large blocks of information to glean meaningful patterns and trends. It can be used in a variety of ways, such as database marketing, credit risk management, fraud detection, spam Email filtering, or even to discern the sentiment or opinion of users.

What is data mining techniques?

Data mining includes the utilization of refined data analysis tools to find previously unknown, valid patterns and relationships in huge data sets. These tools can incorporate statistical models, machine learning techniques, and mathematical algorithms, such as neural networks or decision trees.

How can we categorize data mining systems?

Classification according to the kinds of knowledge mined: Data mining systems can be categorized according to the kinds of knowledge they mine, that is, based on data mining functionalities, such as characterization, discrimination, association and correlation analysis, classification, prediction, clustering, outlier …

What is data mining Mcq?

Explanation: Data mining is a type of process in which several intelligent methods are used to extract meaningful data from the huge collection ( or set) of data.

What is data mining in simple words?

Definition: In simple words, data mining is defined as a process used to extract usable data from a larger set of any raw data. It implies analysing data patterns in large batches of data using one or more software. Data mining involves effective data collection and warehousing as well as computer processing.

What is data mining in PPT?

What is Data Mining?  Many Definitions  Extraction of implicit, previously unknown and potentially useful information from data  Exploration & analysis, by automatic or semi-automatic means, of large quantities of data in order to discover meaningful patterns.

What are description methods in data mining?

What is descriptive data mining? Descriptive mining is usually used to provide correlation, cross-tabulation, frequency, etc. These techniques are used to determine the data regularities and to reveal patterns. It targets the summarization and conversion of data into meaningful data for reporting and monitoring.