29-05-2010, 09:52 PM
DATA MINING AND WARE HOUSING
Data Mining:
Data mining is the extraction of hidden predictive information from large databases. It is a is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses.
The Foundations of Data Mining:
Data mining takes us beyond data access and navigation to prospective and proactive information delivery. Data mining is supported by technologies like Massive data collection, Powerful multiprocessor computers. Data mining algorithms etc and as a result is ready for business deployment. Commercial databases are growing at unprecedented rates.
The Scope of Data Mining:
its name is derived from searching for valuable business information in a large database like a miner does for gold. data mining technology can generate new business opportunities by providing these capabilities:
-Automated prediction of trends and behaviors: It automates the process of finding predictive information in large databases.
-Automated discovery of previously unknown patterns.: Data mining parses through databases and identify previously hidden patterns in one step.
The most commonly used techniques in data mining are:
-Decision trees
-Artificial neural networks
-Nearest neighbor method
-Genetic algorithms:
-Rule induction
An Architecture for Data Mining:
Many data mining tools currently operate outside of the warehouse, requiring extra steps for extracting, importing, and analyzing the data. The ideal starting point is a data warehouse containing a combination of internal data tracking all customer contact coupled with external market data . Sybase, Oracle, Redbrick, etc can be used to implement this warehouse. An OLAP (On-Line Analytical Processing) server enables a more sophisticated end-user business model to be applied when navigating the data warehouse.
for more details on this topic, visit this link:
http://thearlingtext/dmwhite/dmwhite.htm
and for data warehousing, visit this link:
http://carleton.com.au/Understanding%20D...ically.htm
Data Mining:
Data mining is the extraction of hidden predictive information from large databases. It is a is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses.
The Foundations of Data Mining:
Data mining takes us beyond data access and navigation to prospective and proactive information delivery. Data mining is supported by technologies like Massive data collection, Powerful multiprocessor computers. Data mining algorithms etc and as a result is ready for business deployment. Commercial databases are growing at unprecedented rates.
The Scope of Data Mining:
its name is derived from searching for valuable business information in a large database like a miner does for gold. data mining technology can generate new business opportunities by providing these capabilities:
-Automated prediction of trends and behaviors: It automates the process of finding predictive information in large databases.
-Automated discovery of previously unknown patterns.: Data mining parses through databases and identify previously hidden patterns in one step.
The most commonly used techniques in data mining are:
-Decision trees
-Artificial neural networks
-Nearest neighbor method
-Genetic algorithms:
-Rule induction
An Architecture for Data Mining:
Many data mining tools currently operate outside of the warehouse, requiring extra steps for extracting, importing, and analyzing the data. The ideal starting point is a data warehouse containing a combination of internal data tracking all customer contact coupled with external market data . Sybase, Oracle, Redbrick, etc can be used to implement this warehouse. An OLAP (On-Line Analytical Processing) server enables a more sophisticated end-user business model to be applied when navigating the data warehouse.
for more details on this topic, visit this link:
http://thearlingtext/dmwhite/dmwhite.htm
and for data warehousing, visit this link:
http://carleton.com.au/Understanding%20D...ically.htm
