Database - Data Warehousing - Discussion

option:c

Data mining is used as a function to find some relations, patterns among the data.

Data mining means tools to access, analyse the data and store it in an db.

Data mining refers to extracting or mining knowledge from very large database.

Data mining refers to statistical and AI algorithms to analyze correlation of variables in data.

Data warehouse architecture, which is based on multi-agent systems, not only improves the active and real-time performance of the data warehouse.

Data mining is an innovative way of gaining new and valuable business insights by analyzing the information held in your company database.

Data mining uncovers this in-depth business intelligence by using advanced analytical and modeling techniques.

Data mining can identify patterns in company data.

Data mining can identify the characteristics of a known group of customers.

Data mining tools ease and automate the process of discovering this kind of information from large stores of data.

Data mining is refers to extracting knowledge from large database.

It is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue, cuts costs, or both. Data mining software is one of a number of analytic tools for analyzing data.

Data Warehousing is a repository of an organization's electronically stored data.