Machine intelligence-based algorithms for spam filtering on document labeling
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Devottam Gaurav | Ajith Abraham | Ayush Goyal | Niketa Gandhi | Sanju Mishra Tiwari | A. Abraham | Ayush Goyal | N. Gandhi | Devottam Gaurav | S. Tiwari
[1] Antonino Staiano,et al. Machine learning and soft computing for ICT security: an overview of current trends , 2011, Journal of Ambient Intelligence and Humanized Computing.
[2] Abdulrahman A. Mirza,et al. Spammer Classification Using Ensemble Methods over Structural Social Network Features , 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).
[3] C. R. Kavitha,et al. Spam Detection Using Machine Learning in R , 2018, International Conference on Computer Networks and Communication Technologies.
[4] M. Bassiouni,et al. Ham and Spam E-Mails Classification Using Machine Learning Techniques , 2018 .
[5] Shrawan Kumar Trivedi,et al. Interplay between Probabilistic Classifiers and Boosting Algorithms for Detecting Complex Unsolicited Emails , 2013 .
[6] Mohamed Ghailani,et al. A Study on Email Spam Filtering Techniques , 2010 .
[7] Ajith Abraham,et al. Feature deduction and ensemble design of intrusion detection systems , 2005, Comput. Secur..
[8] Alexander J. Smola,et al. Collaborative Email-Spam Filtering with the Hashing-Trick , 2009 .
[9] Jun Ho Huh,et al. Hybrid spam filtering for mobile communication , 2009, Comput. Secur..
[10] Dennis McLeod,et al. A Comparative Study for Email Classification , 2007 .
[11] Pilsung Kang,et al. Multi-co-training for document classification using various document representations: TF-IDF, LDA, and Doc2Vec , 2019, Inf. Sci..
[12] Ajith Abraham,et al. A Profile Based Network Intrusion Detection and Prevention System for Securing Cloud Environment , 2013, Int. J. Distributed Sens. Networks.
[13] Rafid Sagban,et al. Swarm intelligence in anomaly detection systems: an overview , 2018, International Journal of Computers and Applications.
[14] Suresh Merugu,et al. Text Message Classification Using Supervised Machine Learning Algorithms , 2018, ICC 2018.
[15] Chia-Lin Lee,et al. A High Performance Image-Spam Filtering System , 2010, 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science.
[16] Laxmi Ahuja. Handling Web Spamming Using Logic Approach , 2018 .
[17] Diego Klabjan,et al. Three iteratively reweighted least squares algorithms for $$L_1$$L1-norm principal component analysis , 2017, Knowledge and Information Systems.
[18] Uffe Kock Wiil,et al. Modeling Suspicious Email Detection using Enhanced Feature Selection , 2013, ArXiv.
[19] Devottam Gaurav,et al. Detection of False Positive Situation in Review Mining , 2019 .
[20] Nasrullah Memon,et al. Detection of Fraudulent Emails by Employing Advanced Feature Abundance , 2014 .
[21] Álvaro Herrero,et al. MOVIH-IDS: A mobile-visualization hybrid intrusion detection system , 2009, Neurocomputing.
[22] Aakanksha Sharaff,et al. Comparative Study of Classification Algorithms for Spam Email Detection , 2016 .
[23] Antonino Staiano,et al. Investigation of Single Nucleotide Polymorphisms Associated to Familial Combined Hyperlipidemia with Random Forests , 2012, WIRN.