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Business Intelligence Data Mining Computers Articles | March 3 http://www.cheapvapormaxmensale.com/ , 2006
Data mining can be technically defined as the automated extraction of hidden information from large databases for predictive analysis. In other words, it is the retrieval of useful information from la...


Data mining can be technically defined as the automated extraction of hidden information from large databases for predictive analysis. In other words, it is the retrieval of useful information from large masses of data, which is also presented in an analyzed form for specific decision-making.




Data mining requires the use of mathematical algorithms and statistical techniques integrated with software tools. The final product is an easy-to-use software package that can be used even by non-mathematicians to effectively analyze the data they have. Data Mining is used in several applications like market research, consumer behavior, direct marketing, bioinformatics cheap air vapormax , genetics, text analysis, fraud detection, web site personalization, e-commerce, healthcare, customer relationship management cheap air max 270 , financial services and telecommunications.




Business intelligence data mining is used in market research, industry research, and for competitor analysis. It has applications in major industries like direct marketing, e-commerce, customer relationship management, healthcare, the oil and gas industry cheap air max 95 , scientific tests, genetics, telecommunications, financial services and utilities. BI uses various technologies like data mining, scorecarding, data warehouses, text mining cheap air max 97 , decision support systems, executive information systems, management information systems and geographic information systems for analyzing useful information for business decision making.




Business intelligence is a broader arena of decision-making that uses data mining as one of the tools. In fact, the use of data mining in BI makes the data more relevant in application. There are several kinds of data mining: text mining, web mining, social networks data mining, relational databases cheap air max 90 , pictorial data mining, audio data mining and video data mining, that are all used in business intelligence applications.




Some data mining tools used in BI are: decision trees, information gain, probability, probability density functions, Gaussians cheap nike air max shoes , maximum likelihood estimation, Gaussian Baves classification, cross-validation, neural networks, instance-based learning case-based memory-basednon-parametric, regression algorithms, Bayesian networks cheap air max shoes , Gaussian mixture models, K-means and hierarchical clustering, Markov models and so on.

Article Tags: Intelligence Data Mining, Business Intelligence, Intelligence Data, Data Mining, Information Systems


Overview of the HSM Securio C18c Cross-Cut Shredder Technology Articles | February 27 cheap nike air max , 2012
Entry level personalhome office C18c Cross-Cut Shredder model designed for 1 to 3 users, also shreds credit cardsstore cards (see below for details). Automatic startstop and auto-reverse in the...


Entry level personalhome office C18c Cross-Cut Shredder model designed for 1 to 3 users, also shreds credit cardsstore cards (see below for details). Automatic startstop and auto-reverse in the event of a paper jam. Reverse button with multi-function (pressing reverse again continues the process). Folding safety element with contact protection (the device stops when pressure is applied to the element). Level indicator through inspection window. Handle recess on the top makes it easier to lift the upper part of the machine to empty the waste container plus automatic stop when the shredded material is removed. Quiet operating sound and zero power consumption in stand-by mode ZES (Zero Energy Standby). Made in Germany.






Quick Overview * C18c Cross-Cut Shredder * Automatic startstop & auto-reverse * Handle recess makes it easier to empty waste container * Level indicator thro