User Email Activity Analysis System

Student: Valchuk Kseniia

Supervisor: Stanislav N. Fedotov

Educational Programme: Data Science (Master)

Year of Graduation: 2020

Internet projects use mailing lists for communication with their users. Many email systems provide a user with tools for analysis of the effectiveness of these mail lists and compute statistics on read, deleted, marked as spam emails. These systems are required to process large amounts of data effectively and show statistics for a user. The ultimate goal of this work is to develop an architecture for user email analysis system which will be effective both in terms of accuracy of displayed statistics and in terms of resources.

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