Data Mining Tips
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Posted On :
May-03-2010
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Article Word Count :
473
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Data mining in databases is also known as Knowledge Discovery (KDD). Data mining is the automated discovery process large amounts of data to models. Data are from reference word, the noun is plural.
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Data mining in databases is also known as Knowledge Discovery (KDD). Data mining is the automated discovery process large amounts of data to models. Data are from reference word, the noun is plural. Important statement that data is a variable or measure a large number of observations consists of a class. Data mining techniques for calculating machine learning based on statistics and pattern recognition works.
Data mining is the necessary process that helps companies understand their customers better. Data Mining "implicit, previously unknown, potentially useful information from data extraction and non-trivial" the science of extracting useful information as well as large sets or databases can be defined. Data mining is interpreted differently in different contexts, but most often as part of a company or other organization is used needs to understand the trend.
Like gold mining, large database customer data, which is translated into useful information, predictive data mining and findings from a multitude of navigating through. A paradigm example of a data mining service, retail store where a customer who buys loose cotton pants is its use in buying tracks. Data mining systems and cotton trousers to create a client contact and may either directly from the market or customer for selling a wide range of cotton trousers or will try to get customers to buy products. Data mining is also a professional customer database and marketing guide to a better understanding of psychology patterns automatically enables detection.
Retrieval software users to analyze large databases to provide solutions to business decision allow. Statistics such as data mining is a technology and business solutions. Data mining software information of that last conversation in a historical database is stored with customers and other aspects such as age, postal code, comments, etc. Thus, data mining software uses the new product gives customers an idea by are intrigued. The marketing manager to target the right customers to choose allows.
Data mining is also related to privacy, including, as regards the source of the data analyzed. For example, an employer diabetes or heart attacks, and ethical and legal problems with people creating and eliminating insurance costs can not be dismissed. In addition to mining the data in the medical field is used to find combinations of drugs with adverse consequences.
Data mining should be interpreted to give useful results. When collected person, including privacy issues, legality and ethics of crops up about.
Data mining can provide accuracy Dales. Large stores of customer data center building for use throughout the enterprise are becoming quite common, but the data warehouses are useless if there is good access to applications and data usage in business.
Many Fortune 1000 companies around the world in fact has established a large number of data mining and campaign management.
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Article Source :
http://www.articleseen.com/Article_Data Mining Tips_17761.aspx
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Author Resource :
Harsh Modi is internet marketer and also writes articles on outsourcing projects, data mining , Data Entry Outsourcing , iphone development etc.
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Keywords :
outsource, outsourcing, data entry, data entry outsourcing, data entry projects, data entry work, data entry job work, online,
Category :
Business
:
Small Business
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