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

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, 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...

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...

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

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...

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

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...

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

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

restoration sites. GIS or spatial data mining is the application of data mining methods to spatial data. Data mining, which is the partially automated...

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...

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...

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...

In agriculture, data mining is the use of data science techniques to analyze large volumes of agricultural data. Recent advancements in technology, such...

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

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...

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

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

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

over 200 metres. Mining may also refer to: Mining, Austria, a municipality in Upper Austria Mining (military), a siege tactic Data mining, the process of...

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

of the data. Dimensionally cursed phenomena occur in domains such as numerical analysis, sampling, combinatorics, machine learning, data mining and databases...

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

comprise the foundations of machine learning. Data mining is a related field of study, focusing on exploratory data analysis (EDA) via unsupervised learning...

data mining. OLAP databases store aggregated, historical data in multi-dimensional schemas (usually star schemas). OLAP systems typically have a data...

Social media mining is the process of obtaining data from user-generated content on social media in order to extract actionable patterns, form conclusions...

BioData Mining is a peer-reviewed open access scientific journal covering data mining methods applied to computational biology and medicine established...