The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 53-397
Full Name: Walid Moudani
Position: Professor
Age: ON
Sex: Male
Address: Lebanese University - EDST - Mitein Street
Country: LEBANON
Tel:
Tel prefix:
Fax:
E-mail address: wmoudani@ul.edu.lb
Other E-mails:
Title of the Paper: Enhancement of a Data Warehouse Performance using Association Rules Technique
Authors as they appear in the Paper:
Email addresses of all the authors:
Number of paper pages: 11
Abstract: In the world of business applications, it is significantly important to reflect patterns and trends of customers, all this to make tactical and strategic decisions. The data warehouse holds information management and turns it into meaningful management information, from which, very interesting patterns can be discovered by applying knowledge discovery process. The use of Online analytical processing with other related technologies such as data mining, can meet the needs related to business management analysis of an organization. Most analytical activities are completed remotely, and because of the huge data size of the Data Warehouse systems. So we need tools that strengthen applications to access the requested information quickly. As the update of the Data Warehouse is not too frequent, it is possible to improve query performance while storing the data retrieved by them in a cache. However, the most powerful systems have a small capacity to store the entire datab!
ase in memory cache. The caching chunks technique is designed to keep in cache the query results in the form of chunks of values, instead of storing them in large tables. In this paper, we propose a new technique for caching multidimensional queries based on association rules. Using this technique will allow all users to enjoy the benefits of Data Warehousing in the best manner, and also to improve performance and also increase the use of the system while reducing the response time. The technique is build using an architecture comprising a data warehouse, a memory cache on the server and a one on each user's machine, in which the association rules and query results are stored. These results are kept in the form of chunks to enjoy all the advantages of the technique of fragmentation into chunks. This approach has been implemented and tested over a real huge data followed by displaying the results and analyzes
Keywords: Data Warehouse, Data Mining, OLAP, Association Rules, Cache based on chunks
EXTENSION of the file: .pdf
Special (Invited) Session:
Organizer of the Session:
How Did you learn about congress:
IP ADDRESS: 94.187.2.48
