Everything about Data mining
Process of analyzing large data sets
Data mining is the process of extracting and finding patterns in massive 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 of extracting information from a data set and transforming 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. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Data miningA 5-minute orientation
- Skim a recent paper: TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data miningInfluential work since 2022
- Pick up a classic book: Artificial Intelligence Applications and InnovationsThe most-reprinted book on the subject
- Read the landmark paper: The WEKA data mining softwareCited 13,279 times
- Go sideways: Educational data miningA closely related topic
- Go sideways: Profiling (information science)A closely related topic
📖 Definitions
Noun A technique for searching large-scale databases for patterns; used mainly to find previously unknown correlations between variables that may be commercially useful.
Verb present participle and gerund of data mine
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
The WEKA data mining software
Data mining with big data
Data mining
Data Mining
Data mining tools
Data mining
Data mining
From data mining to wisdom mining
🆕 Influential since 2022
📚 Books worth reading
Artificial Intelligence Applications and InnovationsLazaros S. Iliadis, Ilias Maglogiannis · 2006
Invisible WomenCaroline Criado Perez · 2019
Weapons of Math DestructionCathy O'Neil · 2016
Open source intelligence techniquesMichael Bazzell · 2012
Data miningJürgen Cleve · 2014
DATA MINING FOR BUSINESS ANALYTICSGalit Shmueli, Peter C. Bruce · 2016
Data MiningMehmed Kantardzic · 2002
Data science for dummiesLillian Pierson · 2015
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Educational data mining Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated…
- Profiling (information science) In information science, profiling refers to the process of construction and application of user profiles generated by computerized data analysis. This…
- Weka (software) Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public…
- Data analysis for fraud detection Fraud represents a significant problem for governments and businesses and specialized analysis techniques for discovering fraud using them are required…
- Text mining Text mining, text data mining (TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer…
- Machine learning Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn…
- Examples of data mining Data mining, the process of discovering patterns in large data sets, has been used in many applications. Drone monitoring and satellite imagery are some…
- Outline of machine learning The following outline is provided as an overview of, and topical guide to, machine learning: Machine learning (ML) is a subfield of artificial intelligence…