Data Mining Tasks, Processes and Analysis

There are many data mining tasks like classification, forecasting, time series analysis, association, clustering, summarization, etc. All of these tasks are either predictive or descriptive data mining tasks. A mining task brings together the information needed to start a training run and compute a mining model. This information includes mining settings and input data definitions. Intelligent Miner provides user-defined methods to define mining tasks. You can also define tasks for test runs. Data mining is both specific algorithms and models and an analytical process. Like the CIA intelligence process, the CRISP-DM process model is also divided into six steps: business understanding, data understanding, data preparation, modelling, assessment, and deployment.

    Related Conference of Data Mining Tasks, Processes and Analysis

    March 09-10, 2026

    14th Global Summit on Artificial Intelligence and Neural Networks

    Singapore City, Singapore
    April 29-30, 2026

    MECHATRONICS CONFERENCE 2026

    Dubai, UAE
    December 09-10, 2026

    25th International Conference on Big Data & Data Analytics

    Amsterdam, Netherlands

    Data Mining Tasks, Processes and Analysis Conference Speakers

      Recommended Sessions

      Related Journals

      Are you interested in