Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Data mining techniques and tools enable enterprises to predict future trends and make more-informed business decisions. CIO brought this topic to us in their article, “What is data mining? Finding patterns and trends in data.”

As a subset of data science that uses statistical and mathematical techniques along with machine learning and database systems, the idea of extracting patterns from data is not new. However, the modern concept of data mining began taking shape in the 1980s and 1990s with the use of database management and machine learning techniques to augment manual processes.

Data mining may be confused with other data projects such as data cleaning and exploratory analysis, but it is not just those practices. Analytics and data cleaning are parts of data mining, but they are only parts of the whole.

Once mined, making the data accessible is key for findability. Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Data Harmony is Access Innovations’ artificial intelligence suite of tools that leverage explainable AI for efficient, innovative and precise semantic discovery of new and emerging concepts to help find the information you need when you need it.

Melody K. Smith

Sponsored by Access Innovations, changing search to found.