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Increasingly complex high-dimensional PFC data create new challenges for data mining and interpretation.
DG performed data mining and interpretation of expression data from testicular tumors and tumor icroenvironment and the comparison with gene expression of germ cells and Sertoli cells, and approved the final version of manuscript.
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The data mining and functional interpretation of datasets to access biologically interpretable results pose many analytical challenges, which have been recently reviewed by Kumar and Mann (2009).
Methods of natural language processing can be used to perform data mining and facilitate interpretation.
The KDD process involves three main operations: selection and preparation of the data, data mining, and finally interpretation of the extracted units.
CLL contributed to the study design, data mining and processing, analyses and interpretation of results, and revision for important content.
To make the discussions on the main operators of KDD process more concise, the following sections will focus on those depicted in Fig. 3, which were simplified to three parts (input, data analytics, and output) and seven operators (gathering, selection, preprocessing, transformation, data mining, evaluation, and interpretation).
The connectivity and interaction among the systems are analyzed by data mining, visualization and interpretation artefacts within a sustainability policy framework.
JSB was instrumental in assisting with in silico data mining and had a significant role in data analysis and interpretation.
There is a need for pipelines that unify data mining and inference deduction into a singular framework to enhance interpretation and hypotheses generation.
Classification or decision trees are a staple in the data mining and machine learning community due to their algorithmic simplicity and ease of interpretation.
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