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One of the significant data mining techniques is clustering.
The development of new text mining techniques is crucial for the retrieval of factual information from publications.
Also, data mining techniques is capable of handling large dimensional data whereas statistical techniques have some limitations [3, 13].
In this paper, a novel framework based on data mining techniques is proposed for designing an IDS.
A supervised decision tree method following the machine learning and data mining techniques is designed to estimate the key factors in knock-on delays.
The underlying math of almost all data mining techniques is complex and not very easily understandable for non-technical fellows, thus, clinicians and epidemiologists have usually preferred to continue working with traditional statistics methods.
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So, with this purpose data mining techniques were used.
Data extraction and content analysis via data mining techniques were performed on these articles.
The techniques and data sources described herein are published in the refereed scientific literature and are progressing rapidly as new "data mining" techniques are advanced [ 28] and improved satellite remote sensing data become available [ 11].
The available usage mining techniques are based on clickstream data.
In this approach, text mining techniques are utilized.
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