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data mining is the process of discovering patterns in large data sets involving methods at the often the more general terms (large scale) data analysis and analytics or when referring to actual methods artificial intelligence and machinedifferentiating between data mining and text mining terminologyuntangling text data mining hearst (1999) tackled the problem of clarifying summary and critical discussion of hearst's attempt to clarify the terminology.data mining terminologies tutorialspointdata mining terminologies data mining is defined as extracting the information from a huge set of data. in other words we can say that data mining is miningbig data terminology 16 key definitions everyone should data mining is the process of discovering insights from data. in terms of big data because it is so large this is generally done by computational methods in anterminology in data analytics statistics data mining methods not involving the prediction of an outcome based on training models on data where the outcome is known. unsupervised methods includeglossary of common machine learning statistics and data science glossary of common statistical machine learning data science terms used data mining is done for purposes like market analysis determining customerdata mining definitionsterminology and notation (for predictive analytics). because of the hybrid parentry of data mining its practitioners often use multiple terms to refer. to the samedata mining fundamentals terms you must know smartdata 29 jun 2011 if anyone tells you there is a firm definition for the term data mining that person is either misinformed or flat out lying.while i'm pleased to