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Data Mining and OLAP Based on Data Warehouse

Peng Wang

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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.

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What this paper is about

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.

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Available 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.

Key concepts: Online analytical processing, Data warehouse, Computer science, Database, Data mining, Multidimensional data, Materialized view, Data science

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