Machine Learning and Data Mining for User Classification, 2nd Edition

Dear Colleagues,

We are pleased to present the 2nd Edition of the Special Issue, titled, “Machine Learning and Data Mining for User Classification” (https://www.mdpi.com/journal/information/special_issues/9ZUZP40XA7).

Modern internet is characterized by its many users, the multitude of web services offered, and the increased complexity in accessing digital resources. In this context, more sophisticated threats have increasingly occurred, requiring new methods for protecting and facilitating users. Furthermore, the large amount of stored raw data, which is growing at a dizzying pace daily, hides information that is not immediately available and requires time and effort.

This Special Issue suggests new approaches for creating user profiles to protect unsuspecting users, enhancing user authentication, and extracting information from textual data. Moreover, this Special Issue is interested in document classification and, generally, for methods protecting Internet users, making better use of the services offered, and extracting the available information using data derived mainly from text and typing.

Dr. Ioannis Tsimperidis
Dr. Eleni Vrochidou
Prof. Dr. George A. Papakostas
Guest Editors

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