Data Warehousing and Data Mining. DatabaseMCA. Data warehousing is a collection of tools and techniques using which more knowledge can be driven out from a large amount of data. This helps with the decision-making process and improving information resources.
Data warehousing is a collection of tools and techniques using which more knowledge can be driven out from a large amount of data. This helps with the decision-making process and improving information resources.
In this company, data mining uses the past promotional mailing to identify the targets to maximize the return. Automated discovery of previously unknown patterns: Data mining sweeps through the database and identifies previously hidden patterns.
Data transformation – Data is transformed into appropriate form for mining. Data mining – methods to extract data patterns. Pattern evaluation – identify interesting patterns in the data. Knowledge representation- visualization and knowledge representation techniques are used. What kind of data that can be mined?
Data warehousing is a collection of tools and techniques using which more knowledge can be driven out from a large amount of data. This helps with the decision-making process and improving information resources.
The purpose of Data warehouse is to support the decision making process. It makes information easily accessible as we can generate reports from the data warehouse. It usually contains historical data derived from transactional data but can also include data from other sources.
Automated Prediction of trends and behaviours: Data mining automates the process of finding the predictive information in large databases. For example : Consider a marketing company. In this company, data mining uses the past promotional mailing to identify the targets to maximize the return.