Data mining is the process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics...

Data mining, the process of discovering patterns in large data sets, has been used in many applications. In business, data mining is the analysis of historical...

Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated...

In data mining and association rule learning, lift is a measure of the performance of a targeting model (association rule) at predicting or classifying...

Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream...

Data Mining (JDM) is a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects...

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...

Data Mining Extensions (DMX) is a query language for data mining models supported by Microsoft's SQL Server Analysis Services product. Like SQL, it supports...

Wrapper in data mining is a procedure that extracts regular subcontent of an unstructured or loosely-structured information source and translates it into...

Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification...

Relational data mining is the data mining technique for relational databases. Unlike traditional data mining algorithms, which look for patterns in a...

Evolutionary data mining, or genetic data mining is an umbrella term for any data mining using evolutionary algorithms. While it can be used for mining data from...

standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data mining experts. It is the...

included "knowledge discovery" and "data mining". In 2012, technologists Thomas H. Davenport and DJ Patil declared "Data Scientist: The Sexiest Job of the...

that data mining does not use it, there are many use cases for data wrangling in data mining. Data wrangling can benefit data mining by removing data that...

Process mining is a family of techniques used to analyze event data in order to understand and improve operational processes. Part of the fields of data science...

world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis...

step in the data mining process. Data collection methods are often loosely controlled, resulting in out-of-range values, impossible data combinations, and...

Preserving Data Mining (PPDM) is the process of data mining while maintaining privacy of sensitive material. Data mining involves analyzing large datasets to gain...

Social media mining is the process of obtaining big data from user-generated content on social media sites and mobile apps in order to extract actionable...

governance Data integrity Data maintenance Data management Data mining Data modeling Data point Data preservation Data protection Data publication Data remanence...

siege tactic Data mining, the process of extracting knowledge from a data set Social media mining, extracting data from social media Mining (cryptocurrency)...

Domain driven data mining is a data mining methodology for discovering actionable knowledge and deliver actionable insights from complex data and behaviors...

authors. The Bupa liver data – Used in several papers in the machine learning (data mining) literature. Anscombe's quartet – Small data set illustrating the...

Data mining in agriculture is a research topic consisting of the application of data mining and data science techniques to agriculture. Recent technologies...

(mathematical programming) methods. Data mining is a related (parallel) field of study, focusing on exploratory data analysis (EDA) through unsupervised...

coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing...

Cyborg data mining is the practice of collecting data produced by an implantable device that monitors bodily processes for commercial interests. As an...

intelligence (BI) software that provides data integration, OLAP services, reporting, information dashboards, data mining and extract, transform, load (ETL)...

The National Center for Data Mining (NCDM) is a center of the University of Illinois at Chicago (UIC), established in 1998 to serve as a resource for...