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Data mining guide

Data mining is also known as Knowledge
Discovery in Databases (KDD). Data mining isData mining software enables users to analyze
the process of automatically searching largelarge databases to provide solutions to
volumes of data for patterns. Data is derivedbusiness decision problems. Data mining is a
from the word datum, being its plural term.technology and not a business solution like
Data comprises of a class of large number ofstatistics. The data mining software uses the
significant statements that are measurementsinformation that is stored in a historical
or observations of a variable. Data miningdatabase of earlier interactions with the
works on the basis of computationalcustomers and about other aspects such as
techniques from statistics machine learningage, zip code, their feedback etc. Thus the
and  pattern  recognition.data mining software provides an idea about
the customers that would be intrigued by the
Data mining is the crucial process that helpsnew product. This enables the marketing
companies better comprehend their customers.manager to choose appropriate customers to
Data mining can be defined as 'the nontrivialtarget.
extraction of implicit, previously unknown,
and potentially useful information from data'Data mining is also linked with privacy
and also as 'the science of extracting usefulconcerns particularly regarding the source of
information from large sets or databases'.the data analyzed. For instance an employer
Data mining is interpreted differently incan screen out people with diabetes or heart
different contexts but most often it is usedattack and create ethical and legal issues
in the context of a business or otherand elimination of costs of insurance.
organization's  need  to  acknowledge trends.Besides this data mining is also used in the
field of medicine to find combinations of
Just like mining for gold, data miningdrugs  with  harmful  results.
navigates through large databases and
extracts a wealth of customer data, which isData mining should be interpreted to give
then translated into useful and predictivebeneficial results. When the data collected
information. A paradigm instance of datainvolves individual people, the issues
mining is its use in a retail salesconcerning privacy, legality and ethics crop
department where a store tracks the purchasesup.
of a customer who buys ample of cotton
trousers. The data mining system will make anData mining can bring pinpoint accuracy to
association with customer and cotton trousersdales. Creating big central stores of
and might either directly market or sale thecustomer data to be used all through the
cotton trouser to that customer or try to getentire enterprise are becoming quite usual
the customer to buy a vast range of products.but the data warehouses are of no use if
Data mining also enables automatic detectionthere are no proper applications for
of the patterns in a database and guidesaccessing and using the data in the
marketing professionals to a bettercompanies.
understanding  of  the  customer  psychology.



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