Study And Implementation On Community Service Oriented Data Analysis System

On-line Analysis Processing (OLAP) is an approach to answer multi-dimensional analytical queries quickly. OLAP is a part of the broader category of business intelligence, which also encompasses relational reporting and data mining. This paper researches on the knowledge and technologies of data warehouse firstly, which is used for the data analysis where common database is improper due to the differences between the analysis processing and the transaction processing. Then the technologies about OLAP are studied, including the character of the two main types of OLAP: MOLAP and ROLAP. Consequently, the view in the data cube is discussed, and a new thought using user interest for the selection of materialized views is studied. How to find the user interest is introduced in the way of reinforcement learning (RL). An innovative algorithm is proposed for Q-learning which is the highly weighted in the architecture of the RL.A Community Service Data Analysis System is designed and implemented in the business intelligence system of Line Corporation with the knowledge and technologies mentioned above. The last part of this paper is the conclusion and prospect about this system.