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Data and mining
* Data mining
* Data mining
* Data mining
* Data mining
Even the popular book " Data mining: Practical machine learning tools and techniques with Java " ( which covers mostly machine learning material ) was originally to be named just " Practical machine learning ", and the term " data mining " was only added for marketing reasons.
At the beginning of the century, there was a phrase " database mining "™, trademarked by HNC, a San Diego-based company ( now merged into FICO ), to pitch their Data Mining Workstation ; researchers consequently turned to " data mining ".
Data mining is the process of applying these methods with the intention of uncovering hidden patterns in large data sets.
Data mining topics are also present on many data management / database conferences such as the ICDE Conference, SIGMOD Conference and International Conference on Very Large Data Bases
Data mining involves six common classes of tasks:
There have been some efforts to define standards for the data mining process, for example the 1999 European Cross Industry Standard Process for Data Mining ( CRISP-DM 1. 0 ) and the 2004 Java Data Mining standard ( JDM 1. 0 ).
For exchanging the extracted models – in particular for use in predictive analytics – the key standard is the Predictive Model Markup Language ( PMML ), which is an XML-based language developed by the Data Mining Group ( DMG ) and supported as exchange format by many data mining applications.
Data mining in customer relationship management applications can contribute significantly to the bottom line.
Data mining can also be helpful to human resources ( HR ) departments in identifying the characteristics of their most successful employees.
Data mining is a highly effective tool in the catalog marketing industry.
Data mining tools can identify patterns among customers and help identify the most likely customers to respond to upcoming mailing campaigns.
Data mining for business applications is a component which needs to be integrated into a complex modeling and decision making process.
An example of data mining related to an integrated-circuit production line is described in the paper " Mining IC Test Data to Optimize VLSI Testing.
Data mining methods have also been applied to dissolved gas analysis ( DGA ) in power transformers.
* Data mining
It covers the following areas: Knowledge discovery ( data mining, complex systems modeling, knowledge engineering ) Data and services engineering ( security and confidentiality, modeling, integration and querying, service composition )

Data and analysis
Data analysis encompasses methods for processing both quantitive ( numerical ) and qualitative ( non-numerical ) research data.
* Data management 4GLs such as SAS, SPSS and Stata provide sophisticated coding commands for data manipulation, file reshaping, case selection and data documentation in the preparation of data for statistical analysis and reporting.
Data manipulation, analysis, and reporting languages
* MARS ( software ), Data analysis software for automatic DNA / RNA concentration determination
Category: Data analysis
* Data analysis: superparamagnetic clustering ( SPC ) and its extension global SPC ( gSPC )
Category: Data analysis
Data processing and information systems are considered terms that are too broad and the more specialized term data analysis is typically used.
Data clustering techniques – such as the self-organizing map ( SOM ), have been applied to vibration monitoring and analysis of transformer on-load tap-changers ( OLTCS ).
* Data Structure Analysis, a pointer analysis used in LLVM
A Hungarian Parliamentary Commissioner for Data Protection and Freedom of Information report states that handwriting analysis without informed consent is a privacy violation.
Data profiling can be an extremely powerful tool for psychological and social network analysis.
Data analysis is an indispensable part of all applied research and problem solving in industry.
When using Simpson's Diversity Index on 10 aggregated ethnic groups, the 2001 census identified Newham as the most ethnically diverse district in England and Wales, with 9 wards in the top 15 .< ref >< cite > Simpson's diversity indices by ward 1991 and 2001-GLA Data Management and Analysis Group ( page 11, Table 3 ) Greater London Authority, January 2006 ), accessed 13 December 2006 </ ref > However, when using the 16 ethnic categories in the Census so that White Irish and White Other ethnic minorities are also included in the analysis, Newham becomes the 2nd most ethnically diverse borough < ref >< cite > Focus on Newham 2006-local people and local conditions-London Borough of Newham, Corporate Research Unit ( chapter 2, page 24 ) ( 2006 ) date accessed 31 March 2007 </ ref > with 6 out of the top 15 wards, behind Brent with 7 out of the top 15 wards.
* MIDAS ( Michigan Interactive Data Analysis System ), an interactive statistical analysis package developed by Dan Fox and others at UM's Statistical Research Laboratory.
* Data envelopment analysis, nonparametric method in operations research and econometrics
* Data analysis
* IDL ( programming language ) ( Interactive Data Language ), a data analysis language popular for science applications
Category: Data analysis
SPSS is a computer program used for survey authoring and deployment ( IBM SPSS Data Collection ), data mining ( IBM SPSS Modeler ), text analytics, statistical analysis, and collaboration and deployment ( batch and automated scoring services ).
* Data analysis services are offered by firms, also known as tab houses, that specialize in computer analysis of quantitative data such as those obtained in large surveys.
Data gathered by this spacecraft has been successfully used to parametrize the features of ΛCDM model | standard cosmology, but complete analysis of the data in the context of any non-standard cosmology has not yet been achieved.

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