Explore: Data Mining Process

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

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

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

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

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

things. Data wrangling is a superset of data mining and requires processes that some data mining uses, but not always. The process of data mining is to

Data mining, the process of discovering patterns in large data sets, has been used in many applications. Drone monitoring and satellite imagery are some

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

reporting, online analytical processing, analytics, dashboard development, data mining, process mining, complex event processing, business performance management