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...

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...

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

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

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...

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...

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

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...

Data mining in agriculture is the application of data science techniques to analyze large volumes of agricultural data. Recent technological advancements...

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...

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

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 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...

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

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

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

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...

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

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...

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

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

Some of these methods include knowledge discovery in databases (KDD), data mining, machine learning and statistics. They offer applicable and successful...

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

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

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

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