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National Repository of Grey Literature 1 records found  Search took 0.00 seconds. 
Methodology of design multidimensional databases in the farm environment
 Vasilenko, Alexandr ; Klimešová, Dana (advisor) ; Toman, Prokop (referee)
This dissertation thesis is focused on bulk unsolicited messages which are present in current time in all sectors of electronic communications. It is not only e-mail communication, but also in online forums, discussion contributions, social networking and more. Analyze spam messages is therefore an essential element in preventing flooding user mailboxes. Antispam countermeasures is a set of processes, software tools and methods. It is necessary to harmonize all these components into one cooperating piece of service. Administrators of email servers are trying to keep their servers optimally configured. The problem is that spammers trying continuously these defense mechanisms and filter bypass to enhance spam processes. Their work is very sophisticated and this fight does not yet have a clear winner. After enhancement techniques either processes takes place after a certain time to balance the advantages and disadvantages. For these reasons it is necessary to have a tool which can be analyzed in depth junk messages with dynamic data views. This tool can be Online Analytical Processing (OLAP below), which is very suitable for this purpose. Presented a method of data extraction and transformation and preparation for storage in a warehouse DT-MEZ (Data Pump - metadata email messages). This method is part of the methodology ASOLAP (Antispam - OLAP).
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