| Data mining can be technically defined as
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| | and utilities. BI uses various
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| the automated extraction of hidden
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| | technologies like data mining,
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| information from large databases for
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| | scorecarding, data warehouses, text
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| predictive analysis. In other words, it
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| | mining, decision support systems,
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| is the retrieval of useful information
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| | executive information systems, management
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| from large masses of data, which is also
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| | information systems and geographic
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| presented in an analyzed form for
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| | information systems for analyzing useful
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| specific decision-making.Data mining
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| | information for business decision
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| requires the use of mathematical
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| | making.Business intelligence is a broader
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| algorithms and statistical techniques
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| | arena of decision-making that uses data
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| integrated with software tools. The final
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| | mining as one of the tools. In fact, the
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| product is an easy-to-use software
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| | use of data mining in BI makes the data
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| package that can be used even by
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| | more relevant in application. There are
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| non-mathematicians to effectively analyze
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| | several kinds of data mining: text
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| the data they have. Data Mining is used
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| | mining, web mining, social networks data
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| in several applications like market
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| | mining, relational databases, pictorial
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| research, consumer behavior, direct
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| | data mining, audio data mining and video
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| marketing, bioinformatics, genetics, text
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| | data mining, that are all used in
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| analysis, fraud detection, web site
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| | business intelligence applications.Some
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| personalization, e-commerce, healthcare,
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| | data mining tools used in BI are:
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| customer relationship management,
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| | decision trees, information gain,
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| financial services and
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| | probability, probability density
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| telecommunications.Business intelligence
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| | functions, Gaussians, maximum likelihood
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| data mining is used in market research,
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| | estimation, Gaussian Baves
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| industry research, and for competitor
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| | classification, cross-validation, neural
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| analysis. It has applications in major
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| | networks, instance-based learning
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| industries like direct marketing,
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| | case-based/ memory-based/non-parametric,
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| e-commerce, customer relationship
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| | regression algorithms, Bayesian networks,
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| management, healthcare, the oil and gas
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| | Gaussian mixture models, K-means and
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| industry, scientific tests, genetics,
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| | hierarchical clustering, Markov models
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| telecommunications, financial services
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| | and so on.
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