Big data mining is referred to the collective data mining or extraction techniques that are performed on large sets /volume of data or the big data.
Big data mining is primarily done to extract and retrieve desired information or pattern from humongous quantity of data.
This is usually performed on large quantity of unstructured data that is stored over time by an organization. Typically, big data mining works on data searching, refinement , extraction and comparison algorithms. Big data mining also requires support from underlying computing devices, specifically their processors and memory, for performing operations / queries on large amount of data.
Big data mining techniques and processes are also used within big data analytics and business intelligence to deliver summarized targeted and relevant information, patterns and/or relationships between data, systems, processes and more.