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Terminologies Data analysis It is the process of extracting useful information or pattern from data by using data mining techniques.
The prediction model was developed by using data mining, life cycle cost analysis, real option valuation, and Monte Carlo simulation.
By using data mining techniques, the data stored in a Data Warehouse (DW) can be analyzed for the purpose of uncovering and predicting hidden patterns within the data.
The goal of this study is to explore rules and relationships that might be used to detect possible asymptomatic carotid stenosis by using data mining techniques.
Data from a specific genetics quest in the game were analyzed by using data mining techniques including the classification tree method.
The proposed approach (the process) first analyzing entails the archival tests to discover substitute items, as well as recognize discriminative test itemsets by using data mining technology.
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The aim of this proposed approach is the identification of functional and problematic usability features from a huge number of websites by using data-mining techniques e.g. association rules and decision tree.
Analyses of customers and customer interactions for electronic customer relationship management (e-CRM) can be performed by way of using data mining (DM), optimization methods, or combined approaches.
Analysis of customer interactions for electronic customer relationship management (e-CRM) can be performed by way of using data mining (DM), optimization methods, or combined approaches.
The third paper, "Developing a prediction model for customer churn from electronic banking services using data mining", by Abbas Keramati, Hajar Ghaneei and Seyed Mohammad Mirmohammadi, applies the decision tree technique to build a model to represent the characteristics of churned customers.
Using Gait-CAD (see sub-chapter 3.3), the stored data can be automatically analyzed using data mining methods, e.g., by cluster methods to find typical patterns like for tariff-dependent power patterns in the Olympic Peninsula dataset as shown in [47].
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