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Data mining aims to discover useful information in a data set [12].
Sentiment analysis, which is also called opinion mining, aims to determine people's sentiment about a topic by analyzing their posts and different actions on social media.
Data clustering, one of the most important techniques in data mining, aims to group unlabeled data into different groups on the basis of similarities and dissimilarities between the data elements.
The step C, clustering-based mining, aims to apply the clustering algorithm to identify and annotate other model element instances that contribute to the implementation of the same given concern.
Data mining aims to discover useful information in a data set [ 12].
12, 15 Frequent itemset mining aims to find the itemsets that occur in at least a certain portion of the database, where the portion threshold is specified by a number called "minimum support".
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This article was a study of key technology for sustainable design through the patent knowledge mining, aiming to provide technical support and process model to the transformation from traditional products to sustainable products.
Global optimization for mining complexes aims to generate a production schedule for the various mines and processing streams that maximizes the economic value of the enterprise as a whole.
While methods of data mining aim to discover details in clinical trajectories or clinical pathways, the number of patterns discovered need to be restricted to the main stages defined by guidelines when the objective is to provide routine evaluation indicators of the compliance of observed care trajectories to guidelines.
Furthermore, data pretreatment in a data stream mining system aims to reformat the original data file to prepare data for clustering.
Web usage mining aims at discover interesting patterns of use by analyzing Web usage data.
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CEO of Professional Science Editing for Scientists @ prosciediting.com