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.
The original version of the book was revised. For detailed information please see Erratum. The erratum to the book is available at 10.1007/978-3-319-57141-6_53
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Acknowledgements
The results and knowledge included herein have been obtained owing to support from the Internal grant agency of the Faculty of Economics and Management, Czech University of Life Sciences in Prague, grant no. 20161019, “Economic value of analytical systems in agriculture”.
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Vasilenko, A., Tyrychtr, J. (2017). Towards Data Storage for Online Analytical Antispam System – ASOLAP. In: Silhavy, R., Silhavy, P., Prokopova, Z., Senkerik, R., Kominkova Oplatkova, Z. (eds) Software Engineering Trends and Techniques in Intelligent Systems. CSOC 2017. Advances in Intelligent Systems and Computing, vol 575. Springer, Cham. https://doi.org/10.1007/978-3-319-57141-6_11
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