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Paper [61] for example, proposed privacy preserving data mining techniques in Hadoop.
Nowadays, the application of Web mining techniques in e-learning and Web-based adaptive educational systems is increasing exponentially.
The above cited references are by no means exhaustive but provide some interesting examples of the use of data mining techniques in analyzing agent-based models.
Investigating the impacts of data mining techniques in increasing forecasting accuracy is another objective of this research, where four sets of data are examined using each technique.
Many researchers [3, 4, 5, 6, 7] have studied the application of data mining techniques in the domain of road accidents through association rules mining.
The obtained solvent design information is effectively incorporated into the process synthesis stage through the use of data mining techniques in the form of clustering.
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Reality mining techniques assist in the early detection of psychiatric disorders such as depression, attention deficit hyperactive disorder (ADHD) etc. Reality mining data stream approaches allow direct, continuous, and long term assessment of health patterns and behaviors.
Our goal was to develop a method for exploring physicians' therapeutic decisions by use of data mining techniques only in situations for which clinical guidelines do not provide recommendations.
To increase the accuracy of the forecasts, we may perform data mining techniques, otherwise, garbage in may lead to garbage out.
Recently there has been much interest in electronic commerce applications that use data mining techniques to explore datasets in the social media context.
They trained tribesmen in the use of antitank weapons, such as the 106mm gun and in mining techniques.
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