|data mining and knowledge discovery journal||1.51||0.5||3879||25|
Data mining is a step in the KDD process of applying data analysis and discovery algorithms that, under acceptable computational efficiency limitations, produce a particular enumeration of patterns (or models) on the data. Note that the pattern space is generally infinite and the enumeration of patterns involves some form of search that space.What are some examples of data mining?
The first example of Data Mining and Business Intelligence comes from service providers in the mobile phone and utilities industries. Mobile phone and utilities companies use Data Mining and Business Intelligence to predict ‘churn’, the terms they use for when a customer leaves their company to get their phone/gas/broadband from another provider.What is data mining knowledge?
Data mining, or knowledge discovery, is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends, allowing businesses to make proactive, knowledge-driven decisions.What is data mining concept?
Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems to identify future patterns.