Stem outlier$ (all stems)

91 papers:

SIGMOD-2015-YanZHSMZM #detection #distributed #using

Distributed Outlier Detection using Compressive Sensing (YY, JZ, BH, XS, JM, ZZ, TM), pp. 3–16.

VLDB-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.

ICML-2015-YangX #algorithm #framework

A Unified Framework for Outlier-Robust PCA-like Algorithms (WY, HX), pp. 484–493.

KDD-2015-CaoWYR #dataset #online #scalability

Online Outlier Exploration Over Large Datasets (LC, MW, DY, EAR), pp. 89–98.

OOPSLA-2015-AchourR #approximate #detection

Approximate computation with outlier detection in Topaz (SA, MCR), pp. 711–730.

VLDB-2014-CaoWR #big data #data type #interactive

Interactive Outlier Exploration in Big Data Streams (LC, QW, EAR), pp. 1621–1624.

ICEIS-v2-2014-ThorntonCPHM #detection #health

Outlier-based Health Insurance Fraud Detection for U.S. Medicaid Data (DT, GvC, MP, JvH, RMM), pp. 684–694.

ICML-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.

ICML-c2-2014-SuzumuraOST #algorithm #robust

Outlier Path: A Homotopy Algorithm for Robust SVM (SS, KO, MS, IT), pp. 1098–1106.

KDD-2014-PerozziASM #clustering #detection #graph #scalability

Focused clustering and outlier detection in large attributed graphs (BP, LA, PIS, EM), pp. 1346–1355.

KDD-2014-YuCRW #detection

Detecting moving object outliers in massive-scale trajectory streams (YY, LC, EAR, QW), pp. 422–431.

MLDM-2014-AndreaSVU #detection #performance

A New Measure of Outlier Detection Performance (KA, GS, NV, AU), pp. 190–197.

MLDM-2014-JoshiB #named #novel

CBOF: Cohesiveness-Based Outlier Factor A Novel Definition of Outlier-ness (VJ, RB), pp. 175–189.

CGO-2014-SureshS #algorithm #automation #detection #fault #grid #problem

Automated Algorithmic Error Resilience for Structured Grid Problems Based on Outlier Detection (AS, JS), p. 240.

SIGMOD-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.

VLDB-2013-0002M #named #query

Scorpion: Explaining Away Outliers in Aggregate Queries (EW, SM), pp. 553–564.

CIKM-2013-KellerMWB #adaptation #analysis #flexibility

Flexible and adaptive subspace search for outlier analysis (FK, EM, AW, KB), pp. 1381–1390.

KDD-2013-ZimekGCS #detection #effectiveness #performance

Subsampling for efficient and effective unsupervised outlier detection ensembles (AZ, MG, RJGBC, JS), pp. 428–436.

MLDM-2013-KokkulaM #classification #detection #synthesis #topic

Classification and Outlier Detection Based on Topic Based Pattern Synthesis (SK, NMM), pp. 99–114.

SAC-2013-HassanzadehN #algorithm #detection #graph

A semi-supervised graph-based algorithm for detecting outliers in online-social-networks (RH, RN), pp. 577–582.

CIKM-2012-BaeJKL #detection #using

Outlier detection using centrality and center-proximity (DHB, SJ, SWK, ML), pp. 2251–2254.

CIKM-2012-QahtanZW #detection #estimation #performance

Efficient estimation of dynamic density functions with an application to outlier detection (AAQ, XZ, SW), pp. 2159–2163.

ICPR-2012-Goldstein #algorithm #detection #named

FastLOF: An Expectation-Maximization based Local Outlier detection algorithm (MG), pp. 2282–2285.

ICPR-2012-HuangLW #clustering #detection #incremental

Incremental support vector clustering with outlier detection (DH, JHL, CDW), pp. 2339–2342.

KDD-2012-GuptaGSH #community #detection #mining

Integrating community matching and outlier detection for mining evolutionary community outliers (MG, JG, YS, JH), pp. 859–867.

KDD-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.

CIKM-2011-PillutlaRBSJ #detection #distributed

LSH based outlier detection and its application in distributed setting (MRP, NR, PB, KS, CVJ), pp. 2289–2292.

KDD-2011-BhaduriMG #algorithm #detection

Algorithms for speeding up distance-based outlier detection (KB, BLM, CG), pp. 859–867.

SIGIR-2011-AktolgaRA #detection

Detecting outlier sections in us congressional legislation (EA, IR, YA), pp. 235–244.

SIGMOD-2010-GiatrakosKDVT #approximate #named #network

TACO: tunable approximate computation of outliers in wireless sensor networks (NG, YK, AD, VV, YT), pp. 279–290.

VLDB-2010-OrairTWMP #detection

Distance-Based Outlier Detection: Consolidation and Renewed Bearing (GHO, CHCT, YW, WMJ, SP), pp. 1469–1480.

ICALP-v1-2010-AnagnostopoulosGLS #design #network #online

Online Network Design with Outliers (AA, FG, SL, PS), pp. 114–126.

CIKM-2010-GeXZOYL #detection #evolution #named

Top-Eye: top-k evolving trajectory outlier detection (YG, HX, ZHZ, HTO, JY, KCL), pp. 1733–1736.

CIKM-2010-MullerSS #adaptation #ranking

Adaptive outlierness for subspace outlier ranking (EM, MS, TS), pp. 1629–1632.

ICPR-2010-GaoHLZW #detection #kernel

Local Outlier Detection Based on Kernel Regression (JG, WH, WL, Z(Z, OW), pp. 585–588.

ICPR-2010-PalenichkaLZ #difference #image

Outlier-Resistant Dissimilarity Measure for Feature-based Image Matching (RMP, AL, MBZ), pp. 846–849.

KDD-2010-ChenLB #approach #detection #named #statistics

GLS-SOD: a generalized local statistical approach for spatial outlier detection (FC, CTL, APB), pp. 1069–1078.

KDD-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.

OSDI-2010-AnanthanarayananKGSLSH #clustering #using

Reining in the Outliers in Map-Reduce Clusters using Mantri (GA, SK, AGG, IS, YL, BS, EH), pp. 265–278.

SIGMOD-2009-FrankeG #detection #named #network

ORDEN: outlier region detection and exploration in sensor networks (CF, MG), pp. 1075–1078.

CIKM-2009-KriegelKSZ #named

LoOP: local outlier probabilities (HPK, PK, ES, AZ), pp. 1649–1652.

KDD-2009-BohmHMP #detection #named

CoCo: coding cost for parameter-free outlier detection (CB, KH, NSM, CP), pp. 149–158.

MLDM-2009-IsakssonD #algorithm #case study #comparative #detection

A Comparative Study of Outlier Detection Algorithms (CI, MHD), pp. 440–453.

MLDM-2009-Mejia-LavalleV #detection

Outlier Detection with Explanation Facility (MML, ASV), pp. 454–464.

SAC-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.

SAC-2009-MarascuM #data type #detection

Parameterless outlier detection in data streams (AM, FM), pp. 1491–1495.

SIGMOD-2008-BohmFP #clustering #component #independence #using

Outlier-robust clustering using independent components (CB, CF, CP), pp. 185–198.

CIKM-2008-CarvalhoECC #ranking

Suppressing outliers in pairwise preference ranking (VRC, JLE, WWC, JGC), pp. 1487–1488.

KDD-2008-KriegelSZ #detection

Angle-based outlier detection in high-dimensional data (HPK, MS, AZ), pp. 444–452.

KDD-2008-YangZYW #detection

Local peculiarity factor and its application in outlier detection (JY, NZ, YY, JW), pp. 776–784.

DAC-2007-WuW #detection #incremental

Improving Voltage Assignment by Outlier Detection and Incremental Placement (HW, MDFW), pp. 459–464.

CIKM-2007-AngiulliF #mining #performance

Very efficient mining of distance-based outliers (FA, FF), pp. 791–800.

CIKM-2007-AngiulliF07a #detection

Detecting distance-based outliers in streams of data (FA, FF), pp. 811–820.

MLDM-2007-LateckiLP #detection #kernel

Outlier Detection with Kernel Density Functions (LJL, AL, DP), pp. 61–75.

SAC-2007-ChanW #metric #modelling

Outlier elimination in construction of software metric models (VKYC, WEW), pp. 1484–1488.

VLDB-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.

ICPR-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.

ICPR-v3-2006-ChatelainHP #documentation

A two-stage outlier rejection strategy for numerical field extraction in handwritten documents (CC, LH, TP), pp. 224–227.

ICPR-v4-2006-Jun #comparison #dataset #detection

A Peer Dataset Comparison Outlier Detection Model Applied to Financial Surveillance (TJ), pp. 900–903.

KDD-2006-AbeZL #detection #learning

Outlier detection by active learning (NA, BZ, JL), pp. 504–509.

KDD-2006-AbeZL06a #detection

Outlier detection by sampling with accuracy guarantees (MW, CJ), pp. 767–772.

KDD-2006-BarbaraDR #detection #statistics #testing #using

Detecting outliers using transduction and statistical testing (DB, CD, JPR), pp. 55–64.

KDD-2006-TaoXZ #database #metric #mining #scalability

Mining distance-based outliers from large databases in any metric space (YT, XX, SZ), pp. 394–403.

SAC-2006-GaoCT #detection

Semi-supervised outlier detection (JG, HC, PNT), pp. 635–636.

KDD-2005-LazarevicK #detection

Feature bagging for outlier detection (AL, VK), pp. 157–166.

SAC-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.

SAC-2005-AngiulliBP #detection #predict

Detection and prediction of distance-based outliers (FA, SB, CP), pp. 537–542.

ICEIS-v2-2004-BoudjeloudP #detection #visualisation

Outlier Detection and Visualisation in High Dimensional Data (LB, FP), pp. 485–488.

CIKM-2004-RenRPS #detection

A vertical distance-based outlier detection method with local pruning (DR, IR, WP, KS), pp. 279–284.

ICPR-v3-2004-HautamakiKF #detection #graph #nearest neighbour #using

Outlier Detection Using k-Nearest Neighbour Graph (VH, IK, PF), pp. 430–433.

SAC-2004-AgyemangBA #framework #mining #web

Framework for mining web content outliers (MA, KB, RA), pp. 590–594.

SAC-2004-QiW #mining #set

A model for mining outliers from complex data sets (HQ, JW), pp. 595–599.

ICDAR-2003-TakahashiN #learning #recognition

A class-modular GLVQ ensemble with outlier learning for handwritten digit recognition (KT, DN), pp. 268–272.

KDD-2003-BayS #linear #mining

Mining distance-based outliers in near linear time with randomization and a simple pruning rule (SDB, MS), pp. 29–38.

KDD-2002-YamanishiT #detection #framework

A unifying framework for detecting outliers and change points from non-stationary time series data (KY, JiT), pp. 676–681.

STOC-2001-DunaganV

Optimal outlier removal in high-dimensional (JD, SV), pp. 627–636.

KDD-2001-JinTH #database #mining #scalability

Mining top-n local outliers in large databases (WJ, AKHT, JH), pp. 293–298.

KDD-2001-Kandogan #clustering #coordination #multi #roadmap #using #visualisation

Visualizing multi-dimensional clusters, trends, and outliers using star coordinates (EK), pp. 107–116.

KDD-2001-ShekharLZ #algorithm #detection #graph #summary

Detecting graph-based spatial outliers: algorithms and applications (a summary of results) (SS, CTL, PZ), pp. 371–376.

KDD-2001-YamanishiT

Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner (KY, JiT), pp. 389–394.

KDD-T-2001-Martin #data mining #mining #robust #statistics

Data mining for outliers with robust statistics (RDM), pp. 86–118.

SIGMOD-2000-BreunigKNS #identification #named

LOF: Identifying Density-Based Local Outliers (MMB, HPK, RTN, JS), pp. 93–104.

SIGMOD-2000-RamaswamyRS #algorithm #mining #performance #scalability #set

Efficient Algorithms for Mining Outliers from Large Data Sets (SR, RR, KS), pp. 427–438.

ICPR-v2-2000-LiuG #network

Outlier Rejection with MLPs and Variants of RBF Networks (JL, PDG), pp. 2680–2683.

KDD-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.

VLDB-1999-KnorrN

Finding Intensional Knowledge of Distance-Based Outliers (EMK, RTN), pp. 211–222.

VLDB-1998-KnorrN #algorithm #dataset #mining #scalability

Algorithms for Mining Distance-Based Outliers in Large Datasets (EMK, RTN), pp. 392–403.

KDD-1997-KnorrN

A Unified Notion of Outliers: Properties and Computation (EMK, RTN), pp. 219–222.

ICPR-1996-Brailovsky #approach #detection #probability

An approach to outlier detection based on Bayesian probabilistic model (VLB), pp. 70–74.

KDD-1995-John #database #robust

Robust Decision Trees: Removing Outliers from Databases (GHJ), pp. 174–179.

SAC-1995-CrawfordVW #algorithm #detection #multi #search-based #using

Detecting multiple outliers in regression data using genetic algorithms (KDC, DJV, RLW), pp. 351–356.