A machine-learning approach to Detect users' suspicious behaviour through the Facebook wall.

A Panagiotou, B Ghita, S Shiaeles, K Bendiab

Research output: Working paper / Preprint › Preprint

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Keywords

@techreport{673d3e0c627a45d8918442bc64090b42,

title = "A machine-learning approach to Detect users' suspicious behaviour through the Facebook wall.",

keywords = "4605 Data Management and Data Science, 46 Information and Computing Sciences",

author = "A Panagiotou and B Ghita and S Shiaeles and K Bendiab",

year = "2019",

month = oct,

day = "31",

doi = "10.48550/arxiv.1910.14417",

language = "English",

type = "WorkingPaper",

}

TY - UNPB

T1 - A machine-learning approach to Detect users' suspicious behaviour through the Facebook wall.

AU - Panagiotou, A

AU - Ghita, B

AU - Shiaeles, S

AU - Bendiab, K

PY - 2019/10/31

Y1 - 2019/10/31

KW - 4605 Data Management and Data Science

KW - 46 Information and Computing Sciences

UR - https://pearl.plymouth.ac.uk/secam-research/630/

U2 - 10.48550/arxiv.1910.14417

DO - 10.48550/arxiv.1910.14417

M3 - Preprint

BT - A machine-learning approach to Detect users' suspicious behaviour through the Facebook wall.

ER -