* Data mining

* Data mining

* Data mining

* Data mining

Data mining ( the analysis step of the " Knowledge Discovery in Databases " process, or KDD ), is a field at the intersection of computer science and statistics, is the process that attempts to discover patterns in large data sets.

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 )

Under Eiffel's design, a software text should be able to reproduce its design documentation from the text itself, using a formalized implementation of the " Abstract Data Type ".

* Data transformation – Reading or merging the contents of another text file into the file currently being edited.

text: Data from ISTAT

* Electronic Edition of Domesday Book, complete text available at the UK Data Archive.

Data exchange was mostly performed though standard formats like ASCII text or CSV, or through specialized file conversion programs.

text: Data from U. S. Census Bureau

text: Data from ISTAT

This work, which contained only the first six and the eleventh and twelfth books, and to which, in its English version, he added the Data in 1762, was for long the standard text of Euclid in England.

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 ).

text: Data from Istat

text: Data – INSSE, Graphic by Wikipedia

The emergence of text analytics in its current form stems from a refocusing of research in the late 1990s from algorithm development to application, as described by Prof. Marti A. Hearst in the paper Untangling Text Data Mining:

Coussement and Van den Poel ( 2008 ) Rated as the second ( 17 %) and fourth ( 7 %), respectively, most used text mining software by Rexer's Annual Data Miner Survey in 2010.

Rated as the top used text mining software ( 19 %) by Rexer's Annual Data Miner Survey in 2010.

Rated as the fifth most used text mining software ( 6 %) by Rexer's Annual Data Miner Survey in 2010.

Since October 2007 telecommunication companies have been required to keep records of phone calls and text messages for twelve months under the Data Retention Directive Though all telecoms firms already keep data for a period, the regulations are designed to ensure a uniform approach across the industry.

text: Census Data.

text: Census Data.

text: Census Data.

text: Census Data.

In 1987, stations in the European Broadcasting Union began offering Radio Data System ( RDS ), which provides written text information about programs that were being broadcast, as well as traffic alerts, accurate time, and other teletext services.

* The Employment Practice Code ( an explanation of employees rights from the Data Protection Act ) ( full text )

text: Data from ISTAT

text: Data from ISTAT