@inbook{b9cf8c452c844b5ab8727224f21e0a84,
title = "An Unsupervised Approach to User Characterization in Online Learning and Social Platforms",
abstract = "Making sense of data that is automatically collected from online platforms such as online social media or e-learning platforms is a challenging task: the data is massive, multidimensional, noisy, and heterogeneous (composed of differently behaving individuals). In this chapter we focus on a central task common to all on-line social platforms and that is the task of user characterization. For example, automatically identify a spammer or a bot on Twitter, or a disengaged student in an e-learning platform.",
author = "Dan Vilenchik",
year = "2020",
month = dec,
day = "11",
doi = "10.1007/978-3-030-59177-9_2",
language = "English",
isbn = "978-3-030-59176-2",
series = " Mathematics in Mind",
publisher = "Springer",
pages = "15--36",
editor = "Costa, { S.A.} and {Danesi }, M. and {Martinovic }, {D. }",
booktitle = "Mathematics (Education) in the Information Age",
address = "Germany",
}