Data mining

" Data mining is the process of discovering meaningful new
correlations, patterns and trends by sifting through large
amounts of data stored in repositories, using pattern
recognition technologies as well as statistical and
mathematical techniques. " (Gartner Group)

" Data mining is a knowledge discovery process of extracting
previously unknown, actionable information from very large
databases. " (Aaron Zornes, The META Group)

There are many different definitions of data mining, but almost
all involve finding or discovering useful relationships in large
databases.

What is the technique and how to find information about a specific
meaning, it is not only the technology itself, the business problem
to solve these problems in order to understand and apply
information technology to a comprehensive process of means.
In other words, the methodology for the extraction of useful
information that can be made. Therefore, in order to perform
efficient data mining and statistical techniques, such as time series
analysis, and database technology as well as industrial engineering,
neural network and artificial intelligence, expert systems, fuzzy logic,
pattern recognition, machine learning, and reasonging with incertainty,
ranging from a variety of information technology and information
retrieval techniques are used. In addition, management strategy,
marketing techniques, such as the use of the latest management
techniques need to do.

These data mining giant through a strategy of hiding information
in a database and you can find this information is the key business
process improvements can be used in the most primitive stages.

Data mining is commonly known as Knowledge Discoverty in Database,
Knowledge Extraction, Information Havesting, Data Archeology, and
Data Pattern Processing.

Data Mining to say a word, huge amounts of data easily hidden in the
process, he could find useful information. For example, "The window
is a home to many, many thieves," said a word may sound obvious,
but everyone's insurance rates to be applied to these facts is not to be
able to think about it. A British insurance company is actually using
these facts by applying discriminatory insurance rates, the
establishment of more effective policies and the companies which
causes a large increase in profit contribution was to find the relationship
between changmungwa thieves, and this is Data Mining. The company
holds the Daily transaction data, customer data, product data, or the
reaction of customers and marketing activities in addition to other data,
such as external data sources to include all the data available based on
the hidden knowledge. Not expected or new trends and the actual
business decision-making rules were found by useful information,
and it is right to take advantage of the Data Mining.