Data mining and Data warehouses with example

DATA MINING AND DATA WAREHOUSING

Data Mining (DM

Data Mining is often considered to be the process of discovering new knowledge , which previously doesn 't exist . Thus , DM provides new ways of analyzing data , with different trends and patterns . Because of its strong computing power , DM helps in forecasting patterns by analyzing present information . DM consists of four main relationships : Classes Clusters , Associations and Sequential patterns . The key features of DM are that it is data-driven , classifies data with the decision-trees . It also composes historical data with help of Memory-based Reasoning

(MBR DM also provides multi-dimensional feature of analyzing data by data-visualization . Besides , this DM capabilities facilitates the Data Warehousing perform . The DM is now very much used in the different forms of Business Intelligence such as Neural Networks , Genetic Algorithms etc

One of the industries in which DM has been successfully used is the Retail store industry . As large volume data has to be stored daily , DM provides the convenient analysis of information . With the help of DM algorithms , the analysts can predict future sales . By further analyzing the sales , the retailers can plan their marketing and promotional strategies for the future . By analyzing sales , the retailers can follow the buying behavior of the customers for instance the market-basket analysis . Besides this information regarding purchase frequency profitable market segment , seasonal trends , sales from promotional activities etc can also be collected

Data Warehousing (DW

Traditional data-base systems were being used for the storage and retrieval of data , however , the problem...