Keyword

spam classification

Description: A machine learning and information filtering task that identifies unwanted or unsolicited messages, commonly email or online content.

Primary topic: Spam and Phishing Detection (73%)

OpenAlex ID: keywords/spam-classification

Survey on web spam detection

2012 · Nikita Spirin, Jiawei Han · ACM SIGKDD Explorations Newsletter · 252

Explainable AI under Contract and Tort Law: Legal Incentives and Technical Challenges

2020 · Philipp Hacker, Ralf Krestel, et al. · Artificial Intelligence and Law · 186

PDF

New filtering approaches for phishing email

2010 · André Bergholz, Jan De Beer, et al. · Journal of Computer Security · 178

Detecting Social Spam Campaigns on Twitter

2012 · Zi Chu, Indra Widjaja, et al. · Lecture notes in computer science · 161

Sever: A Robust Meta-Algorithm for Stochastic Optimization

2018 · Diakonikolas, Ilias, Kamath, Gautam, et al. · arXiv (Cornell University) · 149

PDF

Optimizing semantic LSTM for spam detection

2018 · Gauri Jain, Manisha Sharma, et al. · International Journal of Information Technology · 148

Spam filtering using a logistic regression model trained by an artificial bee colony algorithm

2020 · Bilge Kagan Dedeturk, Bahriye Akay · Applied Soft Computing · 146

Knowledge discovery from data?

2000 · M.J. Pazzani · IEEE Intelligent Systems and their Applications · 130

SMS Spam Message Detection using Term Frequency-Inverse Document Frequency and Random Forest Algorithm

2019 · Nilam Nur Amir Sjarif, Nurulhuda Firdaus Mohd Azmi, et al. · Procedia Computer Science · 129

PDF

A comparative study for content-based dynamic spam classification using four machine learning algorithms

2008 · Bo Yu, Zong-ben Xu · Knowledge-Based Systems · 123

Link analysis for Web spam detection

2008 · Luca Becchetti, Carlos Castillo, et al. · ACM Transactions on the Web · 121

TubeSpam: Comment Spam Filtering on YouTube

2015 · Tulio C. Alberto, Johannes V. Lochter, et al. · IEEE International Conference on Machine Learning and Applications (ICMLA) · 113

Privacy-Preserving Decision Trees Evaluation via Linear Functions

2017 · Raymond K. H. Tai, Jack P. K. Ma, et al. · Lecture notes in computer science · 109

A Three-Way Decision Approach to Email Spam Filtering

2010 · Bing Zhou, Yiyu Yao, et al. · Lecture notes in computer science · 107

Random Forests

2020 · Robin Genuer, Jean-Michel Poggi · Use R! · 98

Community-based features for identifying spammers in online social networks

2013 · Sajid Yousuf Bhat, Muhammad Abulaish · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 95

TREC 2005 Spam Track Overview

2005 · Gordon V. Cormack, Thomas R. Lynam · 91

Towards SMS Spam Filtering: Results under a New Dataset

Latent dirichlet allocation in web spam filtering

2008 · István Bíró, Jácint Szabó, et al. · 87

SMS Spam Detection using Machine Learning and Deep Learning Techniques

2021 · Sridevi Gadde, A. Lakshmanarao, et al. · International Conference on Advanced Computing and Communication Systems (ICACCS) · 80

Deep learning framework for handling concept drift and class imbalanced complex decision-making on streaming data

2021 · S. Priya, R. Annie Uthra · Complex & Intelligent Systems · 73

PDF

Linked latent Dirichlet allocation in web spam filtering

2009 · István Bíró, Dávid Siklósi, et al. · 72

Emerging Paradigms in Machine Learning

2012 · Ramanna, Sheela, Jain, L. C. 1946-, et al. · Smart innovation, systems and technologies · 71

Performance Evaluation of Machine Learning Algorithms for Email Spam Detection

2020 · S. Nandhini, Jeen Marseline K.S. · International Conference on Emerging Trends in Information Technology and Engineering (ICETITE) · 70

A MapReduce based parallel SVM for large scale spam filtering

2011 · Godwin Caruana, Maozhen Li, et al. · International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) · 70

Works count: 904

Citation count: 7,356