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Classifying spam emails using agglomerative hierarchical clustering and
  a topic-based approach

Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach

7 February 2024
Francisco Jánez-Martino
R. Alaíz-Rodríguez
V. González-Castro
Eduardo FIDALGO
Enrique Alegre
ArXivPDFHTML

Papers citing "Classifying spam emails using agglomerative hierarchical clustering and a topic-based approach"

6 / 6 papers shown
Title
Measuring the impact of spammers on e-mail and Twitter networks
Measuring the impact of spammers on e-mail and Twitter networks
A. Fronzetti Colladon
P. Gloor
25
35
0
21 May 2021
Classification of Spam Emails through Hierarchical Clustering and
  Supervised Learning
Classification of Spam Emails through Hierarchical Clustering and Supervised Learning
Francisco Jánez-Martino
Eduardo FIDALGO
Santiago González-Martínez
Javier Velasco-Mata
26
34
0
18 May 2020
The History of Digital Spam
The History of Digital Spam
Emilio Ferrara
29
86
0
14 Aug 2019
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
369
33,520
0
16 Oct 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
642
31,469
0
16 Jan 2013
SMOTE: Synthetic Minority Over-sampling Technique
SMOTE: Synthetic Minority Over-sampling Technique
Nitesh Chawla
Kevin W. Bowyer
Lawrence Hall
W. Kegelmeyer
AI4TS
348
25,621
0
09 Jun 2011
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