Data Mining and OLAP Based on Data Warehouse
Peng Wang
Abstract
Peng Wang
Abstract
With more and more concerned about data analysis, adopt many technologies to analyze data. Technologies include data mining technology and on-line analytical processing (OLAP) technology from the fields of data warehouse. A data warehouse contains lots of materialized views over the data provided by the distributed heterogeneous databases for the purpose of efficiently implementing decision-support based on OLAP queries or data mining.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
With more and more concerned about data analysis, adopt many technologies to analyze data. Technologies include data mining technology and on-line analytical processing (OLAP) technology from the fields of data warehouse. A data warehouse contains lots of materialized views over the data provided by the distributed heterogeneous databases for the purpose of efficiently implementing decision-support based on OLAP queries or data mining.
Key concepts: Online analytical processing, Data warehouse, Computer science, Database, Data mining, Multidimensional data, Materialized view, Data science