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