Data mining is the process of extracting and finding patterns in massive 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...

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

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...

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

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

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

Structure mining or structured data mining is the process of finding and extracting useful information from semi-structured data sets. Graph mining, sequential...

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...

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...

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

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...

Process mining is a family of techniques for analyzing event data to understand and improve operational processes. Part of the fields of data science...

Learning and Data Mining changed its name to the Section on Statistical Learning and Data Science, reflecting the ascendant popularity of data science. The...

Data mining in agriculture is the application of data science techniques to analyze agricultural data. Methods such as drone monitoring and satellite...

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

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

data are processed with text-mining. The main step in processing structured information is data-mining, which emerged in the late 1980s. Data mining involves...

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...

Sequential pattern mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered...

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

Audio mining is a technique by which the content of an audio signal can be automatically analyzed and searched. It is most commonly used in the field of...

research. In addition, data scientists, data analysts and data mining specialists use data visualization to check the quality of data, find errors, unusual...

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

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

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

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

data and only reporting those that come back with significant results. Thus data dredging is also often a misused or misapplied form of data mining....

Argument mining, or argumentation mining, is a research area within the natural-language processing field. The goal of argument mining is the automatic...