Data mining

Topic history | v1 (current) | created by jjones

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Data mining

| created by jjones | Add topic "Data mining"
Title
Data mining
Description
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.
Link
https://en.wikipedia.org/?curid=42253

resources

treated in Data Mining Concepts and Techniques
v1 | attached by jjones | Add topic "Data mining"
treated in Hands-on Text Mining and Analytics
v1 | attached by jjones | Add topic "Data mining"
treated in Applied Text Mining in Python
v1 | attached by jjones | Add topic "Data mining"

authors

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topics

subtopic of Computer science
v1 | attached by jjones | Add topic "Data mining"
uses Orange
v1 | attached by jjones | Add topic "Data mining"
subtopic of Data science
v1 | attached by janarez | Edit topic "Topological data analysis (TDA)"