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
12th World Congress on Computer Science, Machine Learning and Big Data
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Data Mining Tasks, Processes and Analysis Conference Speakers
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