Data mining is a field of computer science which involves the process of extraction useful data from large databases by combining artificial intelligence and statistical methods with database management. Data mining has become important for modern business to transform unprecedented quantities of digital data into business intelligence. It is presently applied in wide range of profiling practices such as marketing, scientific rediscovering, surveillance and fraud detection.
Games:
The availability of oracle for certain combinatorial games with any beginning configuration has opened a new area for data mining. This is the extraction of human-usable strategies from these oracles. Current pattern recognition approaches do not seem to fully have the required high level of abstraction in order to be applied successfully.
Spatial Data Mining:
Spatial data mining is the application of data mining methods to spatial data. Data mining offers great potential benefits for applied GIS based decision making. Task of integrating these two technologies that is GIS and data mining has become critical, especially as various public and private sector organizations possessing huge databases with thematic and geographically referenced data.
Business:
Data mining when applied along with the other business applications like customer relationship management, can contribute significantly to the bottom line. Businesses employing data mining may see a return on investment, but also they recognize that the number of predictive models can quickly become very large. Data mining can also be helpful to human resources departments in identifying the characteristics of their most successful employees. Data mining also used in retail sales called as market basket analysis which is used to identify the purchase patterns of the Alpha customers.
Science and Engineering:
Data mining is very useful in the fields of science and engineering such as bio informatics, medicine, genetics, education and electrical power engineering. Data mining is very useful in the are of study on human genetics and these help to improve the diagnosis, prevention and treatment of the diseases. In the area of electrical power engineering, data mining methods have been widely used for condition monitoring of high voltage electrical equipment. Data mining is also useful in educational research and it is used to study the factors leading students to choose to engage in behaviors which reduce their learning.
Data mining is widely used in different fields. The above points clearly tell the applications of data mining in different fields.
Games:
The availability of oracle for certain combinatorial games with any beginning configuration has opened a new area for data mining. This is the extraction of human-usable strategies from these oracles. Current pattern recognition approaches do not seem to fully have the required high level of abstraction in order to be applied successfully.
Spatial Data Mining:
Spatial data mining is the application of data mining methods to spatial data. Data mining offers great potential benefits for applied GIS based decision making. Task of integrating these two technologies that is GIS and data mining has become critical, especially as various public and private sector organizations possessing huge databases with thematic and geographically referenced data.
Business:
Data mining when applied along with the other business applications like customer relationship management, can contribute significantly to the bottom line. Businesses employing data mining may see a return on investment, but also they recognize that the number of predictive models can quickly become very large. Data mining can also be helpful to human resources departments in identifying the characteristics of their most successful employees. Data mining also used in retail sales called as market basket analysis which is used to identify the purchase patterns of the Alpha customers.
Science and Engineering:
Data mining is very useful in the fields of science and engineering such as bio informatics, medicine, genetics, education and electrical power engineering. Data mining is very useful in the are of study on human genetics and these help to improve the diagnosis, prevention and treatment of the diseases. In the area of electrical power engineering, data mining methods have been widely used for condition monitoring of high voltage electrical equipment. Data mining is also useful in educational research and it is used to study the factors leading students to choose to engage in behaviors which reduce their learning.
Data mining is widely used in different fields. The above points clearly tell the applications of data mining in different fields.
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