"Data mining"

 

From Wikipedia, the free encyclopedia

Data mining (DMM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns using tools such as classification, association rule mining, clustering, etc. Data mining is a complex topic and has links with multiple core fields such as computer science and adds value to rich seminal computational techniques from statistics, information retrieval, machine learning and pattern recognition.

http://en.wikipedia.org/wiki/Data_mining


    The technology, applied by Dataodyssey, allows extracting and analyzing data directly from sources of several types without storing, normalization and other intermediate steps. Dataodyssey Express can access data of the following types:

маркированный список MS SQL Server Database and ODBC access
маркированный список MS SQL Server Database and IIS using HTTP access + XML
маркированный список ORACLE and ODBC access
маркированный список MySQL and ODBC access
маркированный список VFP DBF tables and file-server access
маркированный список VFP DBC database and file-server access
маркированный список Any type of data source above and DataOdyssey server access using RPC and XML
маркированный список Any type of data source above and DataOdyssey server access using IIS, XML and HTTP

    We associate data analyzing with flying into a data space. Two mission types, controlled by Gattaca, allow to: select data; create more detailed submissions for separate strings of selected data; create, save and use mission plans; export retrieval results to Excel; build Excel charts.

    The technology of reports allows creating accomplished solutions for end-users, in which you can join results of several missions, setting various relations between them.

    Thus, Dataodyssey Express is an easy and effective means of creating data analysis projects in business and other spheres of life.


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