types of data reduction
Data warehousing and data mining are useful in terms of MIS in the sense that they aggregate all the data and keep it together for MIS programming and tests later on.
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sequence
help in taking the right decision
Data mining is a new interdiceplenary field that involves large data sets and applying statistics, artificial intelligence, and applying them to help with database management. It is believed that it gives businesses an information advantage on business intelligence. "Data mining" is a type of computer science, in which one mines data and analyzing it in order to determine patterns and structure for future use. Applications of these structures then can be used in designing databases, artificial intelligence, and statistical analysis.
Data warehousing and data mining are useful in terms of MIS in the sense that they aggregate all the data and keep it together for MIS programming and tests later on.
CHARECTERISTICS OF DATA MINING CHARECTERISTICS OF DATA MINING
mining the data is called data mining. Mining the text is called text mining
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Data Mining companies provide such services as mining for data and mining for data two electric bugaloo. They will often offer to resort to underhanded tactics to mine said data.
Data warehouse is the database on which we apply data mining.
Data mining can uncover interesting patterns. Some cookies will upload solely for the purpose of data mining.
Simply, Data mining is the process of analyzing data from several sources and converting it into useful data.
One can learn about data mining by visiting the data mining wikipedia page, which has a very comprehensive article about the topic, starting with the etymology and mostly talking about the various uses of data mining.
Data mining
difference between Data Mining and OLAP
The term data mining is generally known as the process of analyzing data from many different perspectives in order to correctly organize the data. Sometimes data mining is also called knowledge dicovery.