Towards data storage for online analytical antispam System - ASOLAP

Abstract

Junk mail is a major concern of Internet communication. It represents most of the received messages. To filter unsolicited bulk e-mails there is a large amount of human and financial resources and computing resources needed. One way to counter this problem is to maximize the information yield of the obtained unsolicited messages. This article aims to introduce the concept ASOLAP-the use of OLAP to store and analyze metadata of e-mail messages. We propose a conceptual data model and verify its quality. Based on the results, we recommend to use the design of the star schema that represents the potential for quality and efficient solution of the ASOLAP design.