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detect (54)
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data (16)
algorithm (15)
use (12)

Stem outlier$ (all stems)

91 papers:

SIGMODSIGMOD-2015-YanZHSMZM #detection #distributed #using
Distributed Outlier Detection using Compressive Sensing (YY, JZ, BH, XS, JM, ZZ, TM), pp. 3–16.
VLDBVLDB-2015-ShiokawaFO #algorithm #clustering #graph #performance #scalability
SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs (HS, YF, MO), pp. 1178–1189.
ICMLICML-2015-YangX #algorithm #framework
A Unified Framework for Outlier-Robust PCA-like Algorithms (WY, HX), pp. 484–493.
KDDKDD-2015-CaoWYR #dataset #online #scalability
Online Outlier Exploration Over Large Datasets (LC, MW, DY, EAR), pp. 89–98.
OOPSLAOOPSLA-2015-AchourR #approximate #detection
Approximate computation with outlier detection in Topaz (SA, MCR), pp. 711–730.
VLDBVLDB-2014-CaoWR #big data #data type #interactive
Interactive Outlier Exploration in Big Data Streams (LC, QW, EAR), pp. 1621–1624.
ICEISICEIS-v2-2014-ThorntonCPHM #detection #health
Outlier-based Health Insurance Fraud Detection for U.S. Medicaid Data (DT, GvC, MP, JvH, RMM), pp. 684–694.
ICMLICML-c2-2014-AhmedTBZDKB #detection #random
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations (BA, TT, KB, YZ, OD, RK, CEB), pp. 1080–1088.
ICMLICML-c2-2014-SuzumuraOST #algorithm #robust
Outlier Path: A Homotopy Algorithm for Robust SVM (SS, KO, MS, IT), pp. 1098–1106.
KDDKDD-2014-PerozziASM #clustering #detection #graph #scalability
Focused clustering and outlier detection in large attributed graphs (BP, LA, PIS, EM), pp. 1346–1355.
KDDKDD-2014-YuCRW #detection
Detecting moving object outliers in massive-scale trajectory streams (YY, LC, EAR, QW), pp. 422–431.
MLDMMLDM-2014-AndreaSVU #detection #performance
A New Measure of Outlier Detection Performance (KA, GS, NV, AU), pp. 190–197.
MLDMMLDM-2014-JoshiB #named #novel
CBOF: Cohesiveness-Based Outlier Factor A Novel Definition of Outlier-ness (VJ, RB), pp. 175–189.
CGOCGO-2014-SureshS #algorithm #automation #detection #fault #grid #problem
Automated Algorithmic Error Resilience for Structured Grid Problems Based on Outlier Detection (AS, JS), p. 240.
SIGMODSIGMOD-2013-GeorgiadisKGPTM #algorithm #data type #detection #framework #state of the art
Continuous outlier detection in data streams: an extensible framework and state-of-the-art algorithms (DG, MK, AG, ANP, KT, YM), pp. 1061–1064.
VLDBVLDB-2013-0002M #named #query
Scorpion: Explaining Away Outliers in Aggregate Queries (EW, SM), pp. 553–564.
CIKMCIKM-2013-KellerMWB #adaptation #analysis #flexibility
Flexible and adaptive subspace search for outlier analysis (FK, EM, AW, KB), pp. 1381–1390.
KDDKDD-2013-ZimekGCS #detection #effectiveness #performance
Subsampling for efficient and effective unsupervised outlier detection ensembles (AZ, MG, RJGBC, JS), pp. 428–436.
MLDMMLDM-2013-KokkulaM #classification #detection #synthesis #topic
Classification and Outlier Detection Based on Topic Based Pattern Synthesis (SK, NMM), pp. 99–114.
SACSAC-2013-HassanzadehN #algorithm #detection #graph
A semi-supervised graph-based algorithm for detecting outliers in online-social-networks (RH, RN), pp. 577–582.
CIKMCIKM-2012-BaeJKL #detection #using
Outlier detection using centrality and center-proximity (DHB, SJ, SWK, ML), pp. 2251–2254.
CIKMCIKM-2012-QahtanZW #detection #estimation #performance
Efficient estimation of dynamic density functions with an application to outlier detection (AAQ, XZ, SW), pp. 2159–2163.
ICPRICPR-2012-Goldstein #algorithm #detection #named
FastLOF: An Expectation-Maximization based Local Outlier detection algorithm (MG), pp. 2282–2285.
ICPRICPR-2012-HuangLW #clustering #detection #incremental
Incremental support vector clustering with outlier detection (DH, JHL, CDW), pp. 2339–2342.
KDDKDD-2012-GuptaGSH #community #detection #mining
Integrating community matching and outlier detection for mining evolutionary community outliers (MG, JG, YS, JH), pp. 859–867.
KDDKDD-2012-PhamP #algorithm #approximate #detection
A near-linear time approximation algorithm for angle-based outlier detection in high-dimensional data (NP, RP), pp. 877–885.
CIKMCIKM-2011-PillutlaRBSJ #detection #distributed
LSH based outlier detection and its application in distributed setting (MRP, NR, PB, KS, CVJ), pp. 2289–2292.
KDDKDD-2011-BhaduriMG #algorithm #detection
Algorithms for speeding up distance-based outlier detection (KB, BLM, CG), pp. 859–867.
SIGIRSIGIR-2011-AktolgaRA #detection
Detecting outlier sections in us congressional legislation (EA, IR, YA), pp. 235–244.
SIGMODSIGMOD-2010-GiatrakosKDVT #approximate #named #network
TACO: tunable approximate computation of outliers in wireless sensor networks (NG, YK, AD, VV, YT), pp. 279–290.
VLDBVLDB-2010-OrairTWMP #detection
Distance-Based Outlier Detection: Consolidation and Renewed Bearing (GHO, CHCT, YW, WMJ, SP), pp. 1469–1480.
ICALPICALP-v1-2010-AnagnostopoulosGLS #design #network #online
Online Network Design with Outliers (AA, FG, SL, PS), pp. 114–126.
CIKMCIKM-2010-GeXZOYL #detection #evolution #named
Top-Eye: top-k evolving trajectory outlier detection (YG, HX, ZHZ, HTO, JY, KCL), pp. 1733–1736.
CIKMCIKM-2010-MullerSS #adaptation #ranking
Adaptive outlierness for subspace outlier ranking (EM, MS, TS), pp. 1629–1632.
ICPRICPR-2010-GaoHLZW #detection #kernel
Local Outlier Detection Based on Kernel Regression (JG, WH, WL, Z(Z, OW), pp. 585–588.
ICPRICPR-2010-PalenichkaLZ #difference #image
Outlier-Resistant Dissimilarity Measure for Feature-based Image Matching (RMP, AL, MBZ), pp. 846–849.
KDDKDD-2010-ChenLB #approach #detection #named #statistics
GLS-SOD: a generalized local statistical approach for spatial outlier detection (FC, CTL, APB), pp. 1069–1078.
KDDKDD-2010-GaoLFWSH #community #detection #network #on the #performance
On community outliers and their efficient detection in information networks (JG, FL, WF, CW, YS, JH), pp. 813–822.
OSDIOSDI-2010-AnanthanarayananKGSLSH #clustering #using
Reining in the Outliers in Map-Reduce Clusters using Mantri (GA, SK, AGG, IS, YL, BS, EH), pp. 265–278.
SIGMODSIGMOD-2009-FrankeG #detection #named #network
ORDEN: outlier region detection and exploration in sensor networks (CF, MG), pp. 1075–1078.
CIKMCIKM-2009-KriegelKSZ #named
LoOP: local outlier probabilities (HPK, PK, ES, AZ), pp. 1649–1652.
KDDKDD-2009-BohmHMP #detection #named
CoCo: coding cost for parameter-free outlier detection (CB, KH, NSM, CP), pp. 149–158.
MLDMMLDM-2009-IsakssonD #algorithm #case study #comparative #detection
A Comparative Study of Outlier Detection Algorithms (CI, MHD), pp. 440–453.
MLDMMLDM-2009-Mejia-LavalleV #detection
Outlier Detection with Explanation Facility (MML, ASV), pp. 454–464.
SACSAC-2009-LuYLELW #correlation #data type #detection #incremental #using
Incremental outlier detection in data streams using local correlation integral (XL, TY, ZL, ME, WL, HW), pp. 1520–1521.
SACSAC-2009-MarascuM #data type #detection
Parameterless outlier detection in data streams (AM, FM), pp. 1491–1495.
SIGMODSIGMOD-2008-BohmFP #clustering #component #independence #using
Outlier-robust clustering using independent components (CB, CF, CP), pp. 185–198.
CIKMCIKM-2008-CarvalhoECC #ranking
Suppressing outliers in pairwise preference ranking (VRC, JLE, WWC, JGC), pp. 1487–1488.
KDDKDD-2008-KriegelSZ #detection
Angle-based outlier detection in high-dimensional data (HPK, MS, AZ), pp. 444–452.
KDDKDD-2008-YangZYW #detection
Local peculiarity factor and its application in outlier detection (JY, NZ, YY, JW), pp. 776–784.
DACDAC-2007-WuW #detection #incremental
Improving Voltage Assignment by Outlier Detection and Incremental Placement (HW, MDFW), pp. 459–464.
CIKMCIKM-2007-AngiulliF #mining #performance
Very efficient mining of distance-based outliers (FA, FF), pp. 791–800.
CIKMCIKM-2007-AngiulliF07a #detection
Detecting distance-based outliers in streams of data (FA, FF), pp. 811–820.
MLDMMLDM-2007-LateckiLP #detection #kernel
Outlier Detection with Kernel Density Functions (LJL, AL, DP), pp. 61–75.
SACSAC-2007-ChanW #metric #modelling
Outlier elimination in construction of software metric models (VKYC, WEW), pp. 1484–1488.
VLDBVLDB-2006-SubramaniamPPKG #detection #modelling #online #parametricity #using
Online Outlier Detection in Sensor Data Using Non-Parametric Models (SS, TP, DP, VK, DG), pp. 187–198.
ICPRICPR-v1-2006-DjiouaOP #interactive #recognition #verification
An interactive trajectory synthesizer to study outlier patterns in handwriting recognition and signature verification (MD, CO, RP), pp. 1124–1127.
ICPRICPR-v3-2006-ChatelainHP #documentation
A two-stage outlier rejection strategy for numerical field extraction in handwritten documents (CC, LH, TP), pp. 224–227.
ICPRICPR-v4-2006-Jun #comparison #dataset #detection
A Peer Dataset Comparison Outlier Detection Model Applied to Financial Surveillance (TJ), pp. 900–903.
KDDKDD-2006-AbeZL #detection #learning
Outlier detection by active learning (NA, BZ, JL), pp. 504–509.
KDDKDD-2006-AbeZL06a #detection
Outlier detection by sampling with accuracy guarantees (MW, CJ), pp. 767–772.
KDDKDD-2006-BarbaraDR #detection #statistics #testing #using
Detecting outliers using transduction and statistical testing (DB, CD, JPR), pp. 55–64.
KDDKDD-2006-TaoXZ #database #metric #mining #scalability
Mining distance-based outliers from large databases in any metric space (YT, XX, SZ), pp. 394–403.
SACSAC-2006-GaoCT #detection
Semi-supervised outlier detection (JG, HC, PNT), pp. 635–636.
KDDKDD-2005-LazarevicK #detection
Feature bagging for outlier detection (AL, VK), pp. 157–166.
SACSAC-2005-AgyemangBA #mining #n-gram #using #web
Mining web content outliers using structure oriented weighting techniques and N-grams (MA, KB, RA), pp. 482–487.
SACSAC-2005-AngiulliBP #detection #predict
Detection and prediction of distance-based outliers (FA, SB, CP), pp. 537–542.
ICEISICEIS-v2-2004-BoudjeloudP #detection #visualisation
Outlier Detection and Visualisation in High Dimensional Data (LB, FP), pp. 485–488.
CIKMCIKM-2004-RenRPS #detection
A vertical distance-based outlier detection method with local pruning (DR, IR, WP, KS), pp. 279–284.
ICPRICPR-v3-2004-HautamakiKF #detection #graph #nearest neighbour #using
Outlier Detection Using k-Nearest Neighbour Graph (VH, IK, PF), pp. 430–433.
SACSAC-2004-AgyemangBA #framework #mining #web
Framework for mining web content outliers (MA, KB, RA), pp. 590–594.
SACSAC-2004-QiW #mining #set
A model for mining outliers from complex data sets (HQ, JW), pp. 595–599.
ICDARICDAR-2003-TakahashiN #learning #recognition
A class-modular GLVQ ensemble with outlier learning for handwritten digit recognition (KT, DN), pp. 268–272.
KDDKDD-2003-BayS #linear #mining
Mining distance-based outliers in near linear time with randomization and a simple pruning rule (SDB, MS), pp. 29–38.
KDDKDD-2002-YamanishiT #detection #framework
A unifying framework for detecting outliers and change points from non-stationary time series data (KY, JiT), pp. 676–681.
STOCSTOC-2001-DunaganV
Optimal outlier removal in high-dimensional (JD, SV), pp. 627–636.
KDDKDD-2001-JinTH #database #mining #scalability
Mining top-n local outliers in large databases (WJ, AKHT, JH), pp. 293–298.
KDDKDD-2001-Kandogan #clustering #coordination #multi #roadmap #using #visualisation
Visualizing multi-dimensional clusters, trends, and outliers using star coordinates (EK), pp. 107–116.
KDDKDD-2001-ShekharLZ #algorithm #detection #graph #summary
Detecting graph-based spatial outliers: algorithms and applications (a summary of results) (SS, CTL, PZ), pp. 371–376.
KDDKDD-2001-YamanishiT
Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner (KY, JiT), pp. 389–394.
KDDKDD-T-2001-Martin #data mining #mining #robust #statistics
Data mining for outliers with robust statistics (RDM), pp. 86–118.
SIGMODSIGMOD-2000-BreunigKNS #identification #named
LOF: Identifying Density-Based Local Outliers (MMB, HPK, RTN, JS), pp. 93–104.
SIGMODSIGMOD-2000-RamaswamyRS #algorithm #mining #performance #scalability #set
Efficient Algorithms for Mining Outliers from Large Data Sets (SR, RR, KS), pp. 427–438.
ICPRICPR-v2-2000-LiuG #network
Outlier Rejection with MLPs and Variants of RBF Networks (JL, PDG), pp. 2680–2683.
KDDKDD-2000-YamanishiTWM #algorithm #detection #finite #learning #online #using
On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms (KY, JiT, GJW, PM), pp. 320–324.
VLDBVLDB-1999-KnorrN
Finding Intensional Knowledge of Distance-Based Outliers (EMK, RTN), pp. 211–222.
VLDBVLDB-1998-KnorrN #algorithm #dataset #mining #scalability
Algorithms for Mining Distance-Based Outliers in Large Datasets (EMK, RTN), pp. 392–403.
KDDKDD-1997-KnorrN
A Unified Notion of Outliers: Properties and Computation (EMK, RTN), pp. 219–222.
ICPRICPR-1996-Brailovsky #approach #detection #probability
An approach to outlier detection based on Bayesian probabilistic model (VLB), pp. 70–74.
KDDKDD-1995-John #database #robust
Robust Decision Trees: Removing Outliers from Databases (GHJ), pp. 174–179.
SACSAC-1995-CrawfordVW #algorithm #detection #multi #search-based #using
Detecting multiple outliers in regression data using genetic algorithms (KDC, DJV, RLW), pp. 351–356.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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