Sql server - Explain the concepts and capabilities of data mining

Explain the concepts and capabilities of data mining.

Data mining is used to examine or explore the data using queries. These queries can be fired on the data warehouse. Explore the data in data mining helps in reporting, planning strategies, finding meaningful patterns etc. it is more commonly used to transform large amount of data into a meaningful form. Data here can be facts, numbers or any real time information like sales figures, cost, meta data etc. Information would be the patterns and the relationships amongst the data that can provide information.

Explain the concepts and capabilities of data mining.

Data mining is the process of extracting patterns from huge amount of data. It is the core knowledge of discovery process. Relational, data warehouse, transactional, stream, object oriented, spatial, text, multi-media, heterogeneous, legacy and WWW data is mined. The techniques utilized for data mining are database-oriented, data warehousing (OLAP), visualization, machine learning etc.

Data mining can be implemented in industries like, retail, stock market, text mining, web mining, banking, telecommunication to name a few. Data mining functionalities are characterization, discrimination, clustering, outlier and trend analysis, classification, etc.
Sql server - Explain how to work with the data mining algorithms included in SQL Server data mining
SQL Server data mining offers Data Mining Add-ins for office 2007 that allows discovering the patterns and relationships of the data.....
Sql server - Explain how to use DMX-the data mining query language
Data mining extension is based on the syntax of SQL. It is based on relational concepts and mainly used to create and manage the data mining models......
Sql server - Explain how to mine an OLAP cube
A data mining extension can be used to slice the data the source cube in the order as discovered by data mining......
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