What is data mining?

Modern data mining system self learn from the previous history of the investigated system, formulating and testing hypotheses about the rules, which this system obeys
By: ereso0ueceerp
 
Sept. 17, 2009 - PRLog -- What is data mining?

Powerful systems for collecting data and managing it in large databases are already in place in

most large and medium-scale companies. However, the bottleneck of turning this data into your

success is the difficulty of extracting knowledge about the system that you study from the

collected data.

Below are all the questions that can probably be answered if information hidden among

megabytes of data in your database can be found explicitly and utilized.

What goods should be promoted to this customer?
What is the probability that a certain customer will respond to a planned promotion?
Can one predict the most profitable securities to buy/sell during the next trading session?
Will this customer default on a loan or payback on schedule?
What medical diagnosis should be assigned to a particular patient?
How large are the peak loads of a telephone or energy network going to be?
Why does the facility suddenly start to produce defective goods?
Modeling the investigated system and discovering relations that connect variables in a database

are the subjects of data mining.

Modern data mining system self learn from the previous history of the investigated system,

formulating and testing hypotheses about the rules, which this system obeys. When concise and

valuable knowledge about the system of interest had been discovered, it can and should be

incorporated into some decision support system, which helps the manager to make wise and

informed business decisions

For more information kindly visit http://www.eresourceerp.com/What-is-data-mining.html

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eresource erp is a global information technology company which provides erp solution that meet the strategic objective of our clients spanning a range of verticals - Insurance, Pharmaceuticals, Retail and Distribution, BPO and Logistics.
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