Works matching Spam
Results: 2090
Dispositivos y estrategias lingüístico-discursivas en narrativas de spams.
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- CIRCULO de Linguistica Aplicada a la Comunicacion, 2020, v. 84, p. 143, doi. 10.5209/clac.72002
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- Article
L'IMPACT DES SPAMS BOURSIERS SUR LES VOLUMES - THE IMPACT OF STOCK SPAM ON VOLUMES.
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- Brussels Economic Review, 2007, v. 50, n. 4, p. 411
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Using Personality Recognition Techniques to Improve Bayesian Spam Filtering.
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- Procesamiento del Lenguaje Natural, 2016, v. 57, p. 125
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IMPROVING THE PERFORMANCE OF ANTI-SPAM FILTERS USING OUT-OF-VOCABULARY STATISTICS.
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- INGENIARE - Revista Chilena de Ingeniería, 2009, v. 17, n. 3, p. 386
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- Article
Support Vector Machine Based Spam SMS Detection.
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- Journal of Polytechnic, 2019, v. 22, n. 3, p. 779, doi. 10.2339/politeknik.429707
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Online Behaviors Affected by Spam.
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- Social Science Computer Review, 2006, v. 24, n. 4, p. 507, doi. 10.1177/0894439306288304
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Spam image email filtering using K-NN and SVM.
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- International Journal of Electrical & Computer Engineering (2088-8708), 2019, v. 9, n. 1, p. 245, doi. 10.11591/ijece.v9i1.pp245-254
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- Article
Email spam origins: does the CAN SPAM act shift spam beyond United States jurisdiction?
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- Trends in Organized Crime, 2018, v. 21, n. 1, p. 62, doi. 10.1007/s12117-016-9289-9
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A Collaborative Abstraction Based Email Spam Filtering with Fingerprints.
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- Wireless Personal Communications, 2022, v. 123, n. 2, p. 1913, doi. 10.1007/s11277-021-09221-5
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- Article
Review on Email Spam Filtering Techniques.
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- International Journal of Performability Engineering, 2021, v. 17, n. 2, p. 178, doi. 10.23940/ijpe.21.02.p2.178190
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- Article
ACTIVE MULTI-FIELD LEARNING FOR SPAM FILTERING.
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- Computing & Informatics, 2014, v. 33, n. 6, p. 1400
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SMSAD: a framework for spam message and spam account detection.
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- Multimedia Tools & Applications, 2019, v. 78, n. 4, p. 3925, doi. 10.1007/s11042-017-5018-x
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- Article
Development of humming call system for blocking spam on a smartphone.
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- Multimedia Tools & Applications, 2017, v. 76, n. 16, p. 17371, doi. 10.1007/s11042-017-4511-6
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- Article
ANALYSIS OF SMS SPAM DETECTION USING TF-IDF: A STUDY ON SMS SPAM COLLECTION DATASET.
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- Journal of Social & Technology / Jurnal Sosial dan Teknologi (SOSTECH), 2024, v. 4, n. 4, p. 213, doi. 10.59188/jurnalsostech.v4i4.1214
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- Article
Spam filtering for network traffic security on a multi-core environment.
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- Concurrency & Computation: Practice & Experience, 2009, v. 21, n. 10, p. 1307, doi. 10.1002/cpe.1435
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- Article
A link graph-based approach to identify forum spam.
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- Security & Communication Networks, 2015, v. 8, n. 2, p. 176, doi. 10.1002/sec.970
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A Review on Different types of Spam Filtering Techniques.
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- International Journal of Advanced Research in Computer Science, 2017, v. 8, n. 5, p. 2720
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- Article
Near Duplicate Matching scheme for E-mail Spam Detection using Spam Trees.
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- International Journal of Advanced Research in Computer Science, 2012, v. 3, n. 1, p. 411
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Filtering Spam Emails Based on User Behaviors.
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- International Journal of Advanced Research in Computer Science, 2011, v. 2, n. 5, p. 261
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Next-Generation Spam Filtering: Comparative Fine-Tuning of LLMs, NLPs, and CNN Models for Email Spam Classification.
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- Electronics (2079-9292), 2024, v. 13, n. 11, p. 2034, doi. 10.3390/electronics13112034
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Using Live Spam Beater (LiSB) Framework for Spam Filtering during SMTP Transactions.
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- Applied Sciences (2076-3417), 2022, v. 12, n. 20, p. N.PAG, doi. 10.3390/app122010491
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- Article
Using new scheduling heuristics based on resource consumption information for increasing throughput on rule-based spam filtering systems.
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- Software: Practice & Experience, 2016, v. 46, n. 8, p. 1035, doi. 10.1002/spe.2343
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Detection of spam web page using content and link-based techniques: A combined approach.
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- Sādhanā: Academy Proceedings in Engineering Sciences, 2016, v. 41, n. 2, p. 193, doi. 10.1007/s12046-015-0460-9
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- Article
Safety of Electronic Communication -- Problem of Anti-spam Regulations.
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- Internal Security, 2017, v. 9, n. 1, p. 21, doi. 10.5604/01.3001.0010.7421
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- Article
Email spam and the CAN-SPAM Act: A qualitative analysis.
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- International Journal of Cyber Criminology, 2011, v. 5, n. 1, p. 715
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- Article
The Cost Impact of Spam Filters: Measuring the Effect of Information System Technologies in Organizations.
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- Information Systems Research, 2012, v. 23, n. 3, p. 1068, doi. 10.1287/isre.1110.0396
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- Article
Aspect-based classification method for review spam detection.
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- Multimedia Tools & Applications, 2024, v. 83, n. 7, p. 20931, doi. 10.1007/s11042-023-16293-x
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- Article
Application of Natural Language Processing and Machine Learning Boosted with Swarm Intelligence for Spam Email Filtering.
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- Mathematics (2227-7390), 2022, v. 10, n. 22, p. 4173, doi. 10.3390/math10224173
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- Article
Voting-based Classification for E-mail Spam Detection.
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- Journal of ICT Research & Applications, 2016, v. 10, n. 1, p. 29, doi. 10.5614/itbj.ict.res.appl.2016.10.1.3
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Polynomial Neural Networks Versus Other Spam Email Filters: An Empirical Study.
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- TEM Journal, 2020, v. 9, n. 1, p. 136, doi. 10.18421/TEM91-19
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Using Machine Learning Algorithms to Detect Content-based Arabic Web Spam.
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- Journal of Information Assurance & Security, 2012, v. 7, n. 1, p. 14
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An Investigation of the State of the Art in Spam Email Detection and Prevention Indicating Future Research Directions.
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- International Review on Computers & Software, 2012, v. 7, n. 4, p. 1594
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Control of spam: a comparative approach with special reference to India.
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- Information & Communications Technology Law, 2010, v. 19, n. 1, p. 27, doi. 10.1080/13600831003589350
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A Multimodal Data Mining Framework for Revealing Common Sources of Spam Images.
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- Journal of Multimedia, 2009, v. 4, n. 5, p. 313, doi. 10.4304/jmm.4.5.313-320
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Spam Filtering Based On The Analysis Of Text Information Embedded Into Images.
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- Journal of Machine Learning Research, 2006, v. 7, n. 12, p. 2699
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Spam Filtering Using Statistical Data Compression Models.
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- Journal of Machine Learning Research, 2006, v. 7, n. 12, p. 2673
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Evaluation of the CAN SPAM Act: Testing Deterrence and Other Influences of E-mail Spammer Legal Compliance Over Time.
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- Social Science Computer Review, 2015, v. 33, n. 4, p. 440, doi. 10.1177/0894439314553913
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Who are the spoilers in social media marketing? Incremental learning of latent semantics for social spam detection.
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- Electronic Commerce Research, 2017, v. 17, n. 1, p. 51, doi. 10.1007/s10660-016-9244-5
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- Article
Online active multi-field learning for efficient email spam filtering.
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- Knowledge & Information Systems, 2012, v. 33, n. 1, p. 117, doi. 10.1007/s10115-011-0461-x
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- Article
EFFICIENT EMAIL SPAM DETECTION USING MACHINE LEARNING TECHNIQUES: A COMPARATIVE ANALYSIS OF CLASSIFICATION MODELS.
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- International Journal of Intelligent Computing & Information Sciences, 2024, v. 24, n. 4, p. 1, doi. 10.21608/ijicis.2024.321043.1355
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- Article
SOCIAL MEDIA SPAM DETECTION USING DIFFERENT TEXT FEATURE SELECTION TECHNIQUE AND MACHINE LEARNING.
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- ICTACT Journal on Soft Computing, 2022, v. 13, n. 1, p. 2756, doi. 10.21917/ijsc.2022.0383
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- Article
Differential evolution detection models for SMS spam.
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- International Journal of Electrical & Computer Engineering (2088-8708), 2021, v. 11, n. 1, p. 596, doi. 10.11591/ijece.v11i1.pp596-601
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- Article
WORDS VERSUS CHARACTER N-GRAMS FOR ANTI-SPAM FILTERING.
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- International Journal on Artificial Intelligence Tools, 2007, v. 16, n. 6, p. 1047, doi. 10.1142/S0218213007003692
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ADAPTIVE SPAM FILTERING USING DYNAMIC FEATURE SPACES.
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- International Journal on Artificial Intelligence Tools, 2007, v. 16, n. 4, p. 627, doi. 10.1142/S0218213007003473
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- Article
Detection of Zombie PCs Based on Email Spam Analysis.
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- KSII Transactions on Internet & Information Systems, 2012, v. 6, n. 5, p. 1445, doi. 10.3837/tiis.2012.05.011
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Effective Filtering of Unsolicited Messages from Online Social Networks Using Spam Templates and Social Contexts.
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- Wireless Personal Communications, 2020, v. 113, n. 1, p. 519, doi. 10.1007/s11277-020-07228-y
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- Article
Towards SMS Spam Filtering: Results under a New Dataset.
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- International Journal of Information Security Science, 2013, v. 2, n. 1, p. 1
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- Article
A Perspective of Evolution After Five Years: A Large-Scale Study of Web Spam Evolution.
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- International Journal of Cooperative Information Systems, 2014, v. 23, n. 2, p. -1, doi. 10.1142/S0218843014410019
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- Article
Novel email spam detection method using sentiment analysis and personality recognition.
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- Logic Journal of the IGPL, 2020, v. 28, n. 1, p. 83, doi. 10.1093/jigpal/jzz073
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- Article
A study of the personalization of spam content using Facebook public information.
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- Logic Journal of the IGPL, 2017, v. 25, n. 1, p. 30, doi. 10.1093/jigpal/jzw040
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- Article