Stem spam$ (all stems)

69 papers:

ECIR-2015-CaoC #analysis #behaviour #detection #social #social media

Detecting Spam URLs in Social Media via Behavioral Analysis (CC, JC), pp. 703–714.

KDD-2015-RayanaA #bibliography #detection #metadata #network

Collective Opinion Spam Detection: Bridging Review Networks and Metadata (SR, LA), pp. 985–994.

SIGIR-2015-SedhaiS #named #research #twitter

HSpam14: A Collection of 14 Million Tweets for Hashtag-Oriented Spam Research (SS, AS), pp. 223–232.

HIMI-D-2013-SilvaZGBSV #question

Are the Intrusive Effects of SPAM Probes Present When Operators Differ by Skill Level and Training? (HIS, JZ, TG, VB, TZS, KPLV), pp. 269–275.

CIKM-2013-TanGC0Z #detection #named #network #social

UNIK: unsupervised social network spam detection (ET, LG, SC, XZ, YEZ), pp. 479–488.

KDD-2013-SunMY #bibliography

Synthetic review spamming and defense (HS, AM, XY), pp. 1088–1096.

SAC-2013-CostaBM #detection #network #social

Detecting tip spam in location-based social networks (HC, FB, LHdCM), pp. 724–729.

HT-2012-KlienS #analysis #network

Short links under attack: geographical analysis of spam in a URL shortener network (FK, MS), pp. 83–88.

VLDB-2012-LetelierPPS #analysis #named

SPAM: A SPARQL Analysis and Manipulation Tool (AL, JP, RP, SS), pp. 1958–1961.

ECIR-2012-BosmaMW #detection #framework #network #social

A Framework for Unsupervised Spam Detection in Social Networking Sites (MB, EM, WW), pp. 364–375.

ICPR-2012-ZhaoZWL #detection #graph #mobile #robust

Robust mobile spamming detection via graph patterns (YZ, ZZ, YW, JL), pp. 983–986.

KDD-2012-XieWLY #bibliography #detection

Review spam detection via temporal pattern discovery (SX, GW, SL, PSY), pp. 823–831.

SIGIR-2012-TanGS #exclamation #identification

$100, 000 prize jackpot. call now!: identifying the pertinent features of SMS spam (HT, NG, MS), pp. 1175–1176.

SIGIR-2012-WeiLZMRZ #novel #web

Fighting against web spam: a novel propagation method based on click-through data (CW, YL, MZ, SM, LR, KZ), pp. 395–404.

DocEng-2011-AlmeidaHY #case study

Contributions to the study of SMS spam filtering: new collection and results (TAA, JMGH, AY), pp. 259–262.

VLDB-2011-JinLLH #data mining #detection #named #network #social #social media

SocialSpamGuard: A Data Mining-Based Spam Detection System for Social Media Networks (XJ, CXL, JL, JH), pp. 1458–1461.

CIKM-2011-JonesHTS #documentation #interactive

Relative effect of spam and irrelevant documents on user interaction with search engines (TJ, DH, PT, RS), pp. 2113–2116.

SAC-2011-ZhangZZZX #detection #learning #web

Harmonic functions based semi-supervised learning for web spam detection (WZ, DZ, YZ, GZ, BX), pp. 74–75.

HT-2010-BeelG #on the #robust

On the robustness of google scholar against spam (JB, BG), pp. 297–298.

SIGIR-2010-LiuW #email #learning #multi

Multi-field learning for email spam filtering (WL, TW), pp. 745–746.

SIGIR-2010-MojdehC #consistency #learning #using

Semi-supervised spam filtering using aggressive consistency learning (MM, GVC), pp. 751–752.

SIGIR-2010-QiYHL

Re-examination on lam% in spam filtering (HQ, MY, XH, SL), pp. 757–758.

SAC-2010-AlmeidaYA #anti #probability #reduction

Probabilistic anti-spam filtering with dimensionality reduction (TAA, AY, JA), pp. 1802–1806.

SAC-2010-AlmeidaYA10a #principle #using

Filtering spams using the minimum description length principle (TAA, AY, JA), pp. 1854–1858.

CHI-2009-CramerESW #adaptation #interactive #trust

Awareness, training and trust in interaction with adaptive spam filters (HSMC, VE, MvS, BJW), pp. 909–912.

CIKM-2009-ChenTJ #classification #detection #framework #social #social media #web

A co-classification framework for detecting web spam and spammers in social media web sites (FC, PNT, AKJ), pp. 1807–1810.

CIKM-2009-ChinavleKOF #classification

Ensembles in adversarial classification for spam (DC, PK, TO, TF), pp. 2015–2018.

CIKM-2009-ZhangJZZ #bidirectional #detection

Exploiting bidirectional links: making spamming detection easier (YZ, QJ, LZ, YZ), pp. 1839–1842.

SIGIR-2009-CormackC #email #on the

On the relative age of spam and ham training samples for email filtering (GVC, JMMdC), pp. 744–745.

SIGIR-2009-CormackK #evaluation

Spam filter evaluation with imprecise ground truth (GVC, AK), pp. 604–611.

SIGIR-2009-MacdonaldOS #question

Is spam an issue for opinionated blog post search? (CM, IO, IS), pp. 710–711.

SAC-2009-WeiSW #algorithm #clustering #email #fuzzy #novel #string

Clustering malware-generated spam emails with a novel fuzzy string matching algorithm (CW, AS, GW), pp. 889–890.

SAC-2009-YounM #email #ontology #personalisation #using

Spam decisions on gray e-mail using personalized ontologies (SY, DM), pp. 1262–1266.

SAC-2009-YounM09a #email #embedded #image

Improved spam filtering by extraction of information from text embedded image e-mail (SY, DM), pp. 1754–1755.

SAC-2009-ZhangCCW #clustering #image #visual notation

Revealing common sources of image spam by unsupervised clustering with visual features (CZ, WbC, XC, GW), pp. 891–892.

CSCW-2008-BrownHIPB #network #social

Social networks and context-aware spam (GB, TH, MI, AP, KB), pp. 403–412.

CIKM-2008-AcharyyaG #analysis #product line

A spam resistant family of concavo-convex ranks for link analysis (SA, JG), pp. 1505–1506.

CIKM-2008-JiaYF #detection #peer-to-peer

Spam characterization and detection in peer-to-peer file-sharing systems (DJ, WGY, OF), pp. 329–338.

CIKM-2008-TsengSC #abstraction #detection #email #novel

A novel email abstraction scheme for spam detection (CYT, PCS, MSC), pp. 1393–1394.

CIKM-2008-WebbCP #predict #web

Predicting web spam with HTTP session information (SW, JC, CP), pp. 339–348.

CIKM-2008-ZhuSC #detection #online

Online spam-blog detection through blog search (LZ, AS, BC), pp. 1347–1348.

ICPR-2008-ChenTZ #classification #novel

Spam filtering with several novel bayesian classifiers (CC, YT, CZ), pp. 1–4.

ICPR-2008-TranTJ #anti #linear #network #probability

An adjustable combination of linear regression and modified probabilistic neural network for anti-spam filtering (TPT, PT, TJ), pp. 1–4.

KDD-2008-ChangYM

Partitioned logistic regression for spam filtering (MWC, WtY, CM), pp. 97–105.

SIGIR-2008-MojdehC #question

Semi-supervised spam filtering: does it work? (MM, GVC), pp. 745–746.

SAC-2008-WeiSWS #email #forensics #identification #mining

Mining spam email to identify common origins for forensic application (CW, AS, GW, AS), pp. 1433–1437.

MSR-2007-MizunoINK #approach

Spam Filter Based Approach for Finding Fault-Prone Software Modules (OM, SI, SN, TK), p. 4.

CIKM-2007-CormackHS

Spam filtering for short messages (GVC, JMGH, EPS), pp. 313–320.

ECIR-2007-GengWLZ #ranking

Fighting Link Spam with a Two-Stage Ranking Strategy (GG, CW, QL, YZ), pp. 699–702.

MLDM-2007-MendezCGRD #performance

Analyzing the Performance of Spam Filtering Methods When Dimensionality of Input Vector Changes (JRM, BC, DGP, FFR, FD), pp. 364–378.

SIGIR-2007-CastilloDGMS #detection #using #web

Know your neighbors: web spam detection using the web topology (CC, DD, AG, VM, FS), pp. 423–430.

SIGIR-2007-CormackHS #mobile #re-engineering

Feature engineering for mobile (SMS) spam filtering (GVC, JMGH, EPS), pp. 871–872.

SIGIR-2007-NieWD #trust #web

Winnowing wheat from the chaff: propagating trust to sift spam from the web (LN, BW, BDD), pp. 869–870.

SIGIR-2007-SculleyW #online

Relaxed online SVMs for spam filtering (DS, GW), pp. 415–422.

SIGIR-2007-YangKL #named #web

DiffusionRank: a possible penicillin for web spamming (HY, IK, MRL), pp. 431–438.

ESEC-FSE-2007-MizunoK #detection #empirical #fault

Training on errors experiment to detect fault-prone software modules by spam filter (OM, TK), pp. 405–414.

DocEng-2006-HidalgoBSG

Content based SMS spam filtering (JMGH, GCB, EPS, FCG), pp. 107–114.

VLDB-2006-GyongyiBGP #detection #estimation

Link Spam Detection Based on Mass Estimation (ZG, PB, HGM, JOP), pp. 439–450.

ECIR-2006-FreschiSB #email #obfuscation #string

Filtering Obfuscated Email Spam by means of Phonetic String Matching (VF, AS, AB), pp. 505–509.

SIGIR-2006-LynamCC #online

On-line spam filter fusion (TRL, GVC, DRC), pp. 123–130.

SAC-2006-BelsisFGS #classification

SF-HME system: a hierarchical mixtures-of-experts classification system for spam filtering (PB, KF, SG, CS), pp. 354–360.

ICDAR-2005-AradhyeMH #analysis #categorisation #email #image #performance

Image Analysis for Efficient Categorization of Image-based Spam E-mail (HBA, GKM, JAH), pp. 914–918.

VLDB-2005-GyongyiG

Link Spam Alliances (ZG, HGM), pp. 517–528.

ICEIS-v2-2005-MashechkinPR #anti #approach #enterprise #machine learning

Enterprise Anti-Spam Solution Based on Machine Learning Approach (IM, MP, AR), pp. 188–193.

CIKM-2005-ChiritaDN #detection #named #ranking #using

MailRank: using ranking for spam detection (PAC, JD, WN), pp. 373–380.

VLDB-2004-GyongyiGP #web

Combating Web Spam with TrustRank (ZG, HGM, JOP), pp. 576–587.

KDD-2004-YoshidaAWMHNFY #detection

Density-based spam detector (KY, FA, TW, HM, TH, AN, HF, KY), pp. 486–493.

SAC-2003-Gee #semantics #using

Using Latent Semantic Indexing to Filter Spam (KRG), pp. 460–464.

SIGIR-2000-AndroutsopoulosKCS #anti #comparison #email #keyword #naive bayes

An experimental comparison of naive bayesian and keyword-based anti-spam filtering with personal e-mail messages (IA, JK, KC, CDS), pp. 160–167.