A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Survey on Spam Review Detection Using Spam Filtering Algorithms
2021
International Journal for Research in Applied Science and Engineering Technology
Preserved Fulltext
Sentiment Analysis is a computer study that extracts contextual data from the text. In this study a vast number of online mobile telephone ratings are analyzed. ...
We classify the text as positive and negative, but we also included feelings of frustration, expectation, disgust, apprehension, happiness, regret, surprise and confidence for spam review detection. ...
This paper addresses a basic issue of the study of feelings and the classification of feelings of polarity for spam review detection. Data was compiled from online product reviews of Amazon.com. ...
doi:10.22214/ijraset.2021.36333
fatcat:vx2nwkts3jdnvlswk5ppnb7n5y
Content based SMS spam filtering
2006
Proceedings of the 2006 ACM symposium on Document engineering - DocEng '06
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
Among the wide range of technical measures, Bayesian filters are playing a key role in stopping email spam. ...
In this paper, we analyze to what extent Bayesian filtering techniques used to block email spam, can be applied to the problem of detecting and stopping mobile spam. ...
ACKNOWLEDGMENTS We give our thanks to VODAFONE for funding this research and providing us with the Spanish test data.
7. ...
doi:10.1145/1166160.1166191
dblp:conf/doceng/HidalgoBSG06
fatcat:obvjrwfdkjbsdh2ff7xvdkbrju
Symbiotic filtering for spam email detection
2011
Expert systems with applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
This paper presents a novel spam filtering technique called Symbiotic Filtering (SF) that aggregates distinct local filters from several users to improve the overall performance of spam detection. ...
It allows for the use of social networks to personalize and tailor the set of filters that serve as input to the filtering. ...
We assume that each user u trains a local filter θ u,t over her/his D u training data. ...
doi:10.1016/j.eswa.2011.01.174
fatcat:qrdek3bf7ndupknasdekpqegni
SMS spam filtering: Methods and data
2012
Expert systems with applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The paper also discusses the issues with data collection and availability for furthering research in this area, analyses a large corpus of SMS spam, and provides some initial benchmark results. ...
Mobile or SMS spam is a real and growing problem primarily due to the availability of very cheap bulk pre-pay SMS packages and the fact that SMS engenders higher response rates as it is a trusted and personal ...
spam and non-spam in the training data. ...
doi:10.1016/j.eswa.2012.02.053
fatcat:onkgyhoe45h3pi2bthtwlnc7ya
Email Spam Filtering: A Systematic Review
2008
Foundations and Trends in Information Retrieval
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The purposes of spam and spam filters are diametrically opposed: spam is effective if it evades filters, while a filter is effective if it recognizes spam. ...
In doing so we examine the definition of spam, the user's information requirements and the role of the spam filter as one component of a large and complex information universe. ...
And filter market share will itself influence the design of spam. ...
doi:10.1561/1500000006
fatcat:rdmysuohjbd5de54ktguwsoqum
Symbiotic Data Mining for Personalized Spam Filtering
2009
2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Unsolicited e-mail (spam) is a severe problem due to intrusion of privacy, online fraud, viruses and time spent reading unwanted messages. ...
We propose a new CBF-CF hybrid approach called Symbiotic Data Mining (SDM), which aims at aggregating distinct local filters in order to improve filtering at a personalized level using collaboration while ...
We assume that each user u trains a local filter θ u,t over her/his D u training data. ...
doi:10.1109/wi-iat.2009.30
dblp:conf/webi/CortezLSRR09
fatcat:74jpibumfneebc2eime533pb6i
Interactive Spam Filtering with Active Learning and Feature Selection
2008
2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Thus selecting effective and ineffective features is promising approach.Although traditional feature selection methods have been done based on some amount of labeled training data, this assumption does ...
not hold in interactive spam filtering. ...
The performance of filtering is influenced by not only the amount of training data, but also the feature set. Feature selection is known to be a good approach [5] . ...
doi:10.1109/wiiat.2008.336
dblp:conf/iat/OkabeY08
fatcat:dupmffzkxvcfznpiysabhoixdi
Machine Learning for E-mail Spam Filtering: Review,Techniques and Trends
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
The initial exposition of the background examines the basics of e-mail spam filtering, the evolving nature of spam, spammers playing cat-and-mouse with e-mail service providers (ESPs), and the Machine ...
We present a comprehensive review of the most effective content-based e-mail spam filtering techniques. ...
The reason is that when the user trains the spam filter with the poisoned training data, the spam filter 'learns' about such random words as being good evidences of spam [Sanz, 2008] . ...
arXiv:1606.01042v1
fatcat:cblnuc4knfhehjwzjeeekbgf3m
An evaluation of Naive Bayes variants in content-based learning for spam filtering
2007
Intelligent Data Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf.
We describe an in-depth analysis of spam-filtering performance of a simple Naive Bayes learner and two current variants. ...
Below 100 users a locally trained filter may be preferrable. 3 See e.g. http://projects.puremagic.com/greylisting/whitepaper.html 4 Naive Bayes learning with the usual setting for text mining: splitting ...
Acknowledgements The Austrian Research Institute for Artificial Intelligence is supported by the Austrian Federal Ministry of Education, Science and Culture and by the Austrian Federal Ministry for Transport ...
doi:10.3233/ida-2007-11505
fatcat:hqfr7tnfdrbnhe4ixruk3kp3vm
A Voice Spam Filter to Clean Subscribers' Mailbox
[chapter]
2013
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2013; you can also visit the original URL.
The file type is application/pdf.
The uniqueness of our spam filtering approach lies in its independence on the generation of voice spam, regardless whether spammers play same spam content recorded in many different ways, such as human ...
Using our system, the voice messages left on the media server by callers are matched against a set of spam filtering rules involving the study of call behavioral pattern and the analysis of message content ...
Matching Process The spam filtering architecture can work in a standalone or distributed collaborative manner. ...
doi:10.1007/978-3-642-36883-7_21
fatcat:nclskh6w55ggjh5r3cej52becu
Identifying spam link generators for monitoring emerging web spam
2010
Proceedings of the 4th workshop on Information credibility - WICOW '10
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
An online learning algorithm is used to handle large scale data, and the effectiveness of various features is examined. ...
In this paper, we address the question of how we can identify hosts that will generate links to web spam. ...
This is because we are trying to predict spam link generators when the past data is not available. 3 Our host graph data set can be distributed to researchers for academic and non-commercial use. ...
doi:10.1145/1772938.1772950
dblp:conf/www/ChungTK10
fatcat:qe2ppcq7gnekpl2it7daogrkaa
Memetic algorithm for short messaging service spam filter using text normalization and semantic approach
2020
International Journal of Informatics and Communication Technology (IJ-ICT)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Spams are unsolicited advertising, adult-themed or inappropriate content, premium fraud, smishing and malware. They are a constant reminder of the need for an effective spam filter. ...
Today's popularity of the short messages services (SMS) has created a propitious environment for spamming to thrive. ...
Bayesian net classifiers are built based on the training data. ...
doi:10.11591/ijict.v9i1.pp9-18
fatcat:r4qkuo5dcrf6lflwbajfsiflfe
A social-spam detection framework
2011
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference on - CEAS '11
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
amount of data from across social networks; 3) other techniques (such as blacklists and message shingling) can be integrated and centralized; 4) new social networks can plug into the system easily, preventing ...
There are numerous benefits of the framework including: 1) new spam detected on one social network, can quickly be identified across social networks; 2) accuracy of spam detection will improve with a large ...
In addition, integrating the detection of spammers' behavior to our framework is considered as future work. ...
doi:10.1145/2030376.2030382
dblp:conf/ceas/WangIP11
fatcat:d7m5hsmelbgphc675ft4bmhsre
On Free Speech and Civil Discourse: Filtering Abuse in Blog Comments
2008
International Conference on Email and Anti-Spam
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2012; you can also visit the original URL.
The file type is application/pdf.
In this paper, we investigate the use of user flags to train filters for this task, with the goal of empowering each community to enforce its own standards. ...
However, such comments may contain abuse, such as personal attacks, offensive remarks about race or religion, or commercial spam, all of which reduce the value of community discussion. ...
Acknowledgments We gratefully acknowledge Rediff.com for providing the corpus of blog comments and thank our volunteer adjudicators for their painstaking efforts. ...
dblp:conf/ceas/Sculley08
fatcat:nmsp6v725rcjhkkbkxukkenjgu
Looking into the past to better classify web spam
2009
Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web - AIRWeb '09
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2009; you can also visit the original URL.
The file type is application/pdf.
In this paper, we use content features from historical versions of web pages to improve spam classification. ...
Web spamming techniques aim to achieve undeserved rankings in search results. Research has been widely conducted on identifying such spam and neutralizing its influence. ...
Acknowledgments This work was supported in part by grants from the National Science Foundation under award IIS-0803605 and IIS-0545875, and an equipment grant from Sun Microsystems. ...
doi:10.1145/1531914.1531916
dblp:conf/airweb/DaiDQ09
fatcat:erixqsx6k5eh7bom6tikyim3nq
« Previous
Showing results 1 — 15 out of 2,595 results