Add topic "Data mining" Accepted
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Add Data mining
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- Data mining
- Description
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- Data mining is a process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for further use. Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD. Aside from the raw analysis step, it also involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating.The term "data mining" is a misnomer, because the goal is the extraction of patterns and knowledge from large amounts of data, not the extraction (mining) of data itself.
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- https://en.wikipedia.org/?curid=42253
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Add Orange
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- Orange
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- Orange is an open-source data visualization, machine learning and data mining toolkit. It features a visual programming front-end for explorative rapid qualitative data analysis and interactive data visualization.
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- https://en.wikipedia.org/?curid=2539154
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Add Data mining treated in Data Mining Concepts and Techniques
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Add Data mining treated in Applied Text Mining in Python
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Add Data mining treated in Hands-on Text Mining and Analytics
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Add Data mining uses Orange
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Add Computer science parent of Data mining
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