Data mining, sometimes called knowledge discovery, is the process of sifting large volumes of data for correlations, patterns, and trends.

Data mining is the use of computers to pour through vast quantities of data to draw conclusions or predict outcomes. We explain what it is and how it's used.

Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools ...

Data mining, data analysis and machine learning might seem like the same thing, but they’re more like cousins than siblings. Data analysis is like being a detective, using stats and tools to ...

Data mining is the automated process of sorting through huge data sets to identify trends and patterns and establish relationships.

Data mining is the process of transforming raw data into actionable information for business, typically using data mining software solutions.

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

What tools are included in the data-mining solution to help construct the data-mining database? Premining data preparation entails considerable effort. Consider choosing a solution that includes ...

Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

Process mining helps organizations gather insightful data to evaluate the reliability, efficiency and productivity of business processes throughout the company.