On The Use Of Data-Mining Techniques In Knowledge-Based Systems
On The Use Of Data-Mining Techniques In Knowledge-Based Systems. Data mining tools can answer business questions. Data mining can loosely describe as looking for patterns in data.
In data analysis, anomaly detection (also referred to as outlier detection) is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data. An intelligent agent needs knowledge about the real world for taking decisions and reasoning to act efficiently.; It can more characterize as the extraction of hidden from data.
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An intelligent agent needs knowledge about the real world for taking decisions and reasoning to act efficiently.; Data mining tools can predict behaviours and future trends. It can more characterize as the extraction of hidden from data.
Typically The Anomalous Items Will Translate.
Data mining can loosely describe as looking for patterns in data. Such examples may arouse suspicions of being generated by a different mechanism, or appear inconsistent with the data. In data analysis, anomaly detection (also referred to as outlier detection) is generally understood to be the identification of rare items, events or observations which deviate significantly from the majority of the data.
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