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  • data mining

    Data mining refers to the computer-aided evaluation and analysis of large volumes of data to identify patterns and correlations. It uses automated processes for pattern recognition, methods from artificial intelligence, statistics and data analysis.

    Companys and organisations can use data mining to gain valuable knowledge to help them make better decisions. It involves using historical data to predict likely future developments and identify possible trends or anomalies.
    One example is the analysis of customer data in an online shop. By analysing purchasing behaviour, search queries and demographic information, targeted marketing can be developed.
    Data mining is also used in the context of automatic text generation. Text mining uses techniques such as natural language processing (NLP) and machine learning (ML) to identify patterns in text. By using algorithms and machine learning, it is possible to generate new coherent and meaningful sentences or paragraphs. This can be used to automatically generate articles or stories.