MVExtrem.bib.bak

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  title={Learning the dependence structure of rare events: a non-asymptotic study},
  author={Goix, N. and Sabourin, A. and Clémençon, S.},
  booktitle={Proceedings of the 28th Conference on Learning Theory},
  pages={},
  year={2015},
}

@inproceedings{AISTAT15,
  title={On Anomaly Ranking and Excess-Mass Curves},
  author={Goix, N. and Sabourin, A. and Clémençon, S.},
  booktitle={Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics},
  pages={287–295},
  year={2015},
}

@article{sklearn2011,
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  journal={JMLR},
  year={2011},
  publisher={JMLR}
}


@article{Polonik97,author={W. Polonik},year={1997},title={{Minimum volume sets and generalized quantile processes}},journal={Stochastic Processes and their Applications}}

@article{Einmahl1992,
  title={Generalized quantile processes},
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  year={1992},
  publisher={JSTOR}
}

@incollection{McDiarmid98,
year={1998},
booktitle={Probabilistic Methods for Algorithmic Discrete Mathematics},
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series={Algorithms and Combinatorics},
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title={Concentration},
publisher={Springer Berlin Heidelberg},
author={McDiarmid, Colin},
pages={195-248},
language={English}
}

@article{Tax2002,
  title={Uniform object generation for optimizing one-class classifiers},
  author={Tax, D.MJ and Duin, R.PW},
  journal={JMLR},
  year={2002},
}

@book{Vapnik74,
  author = {Vapnik, V. and Chervonenkis, A.},
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  publisher = {Nauka},
  title = {Theory of Pattern Recognition [in Russian]},
  year = 1974
}

@book{BLM2013,
    Author = {Boucheron, S. and Lugosi, G. and Massart, P.},
    Publisher = {Oxford University Press},
    Title = {Concentration Inequalities: A Nonasymptotic Theory of Independence},
    Year = 2013}


@article{Anthony93,
title = "A result of Vapnik with applications ",
journal = "Discrete Applied Mathematics ",
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number = "3",
pages = "207 - 217",
year = "1993",
author = "Anthony, M. and Shawe-Taylor, J.",
}


@incollection{Bousquet04,
year={2004},
booktitle={Advanced Lectures on Machine Learning},
volume={3176},
series={Lecture Notes in Computer Science},
editor={Bousquet, Olivier and von Luxburg, Ulrike and Rätsch, Gunnar},
title={Introduction to Statistical Learning Theory},
publisher={Springer Berlin Heidelberg},
author={Bousquet, O. and Boucheron, S. and Lugosi, G.},
language={English}
}

@ARTICLE{BBL05,
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    year={2005},
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}


@article{Wellner78,
year={1978},
journal={Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete},
volume={45},
number={1},
title={Limit theorems for the ratio of the empirical distribution function to the true distribution function},
publisher={Springer-Verlag},
author={Wellner, JA.},
pages={73-88},
language={English}
}



@book{Devroye96,
  title={A Probabilistic Theory of Pattern Recognition},
  author={Devroye, L. and Gy{\"o}rfi, L. and Lugosi, G.},
  series={Applications of mathematics : stochastic modelling and applied probability},
  year={1996},
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}


@article{Kolt06,
author={V. Koltchinskii},
year={2006},
title={Local {R}ademacher complexities and oracle inequalities in risk minimization (with discussion)},
journal={The Annals of Statistics},
volume={34},
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}

@article{Scholkopf2001,
  title={Estimating the support of a high-dimensional distribution},
  author={Sch{\"o}lkopf, B. and Platt, J.C. and Shawe-Taylor, J. and Smola, A.J. and Williamson, R.C.},
  journal={Neural computation},
  year={2001},
  publisher={MIT Press}
}

@article{Quinn2014,
  title={A least-squares approach to anomaly detection in static and sequential data},
  author={Quinn, J.A and Sugiyama, M.},
  journal={Pattern Recognition Letters},
  year={2014},
  publisher={Elsevier}
}

@article{Sugiyama2010,
  title={Superfast-trainable multi-class probabilistic classifier by least-squares posterior fitting},
  author={Sugiyama, M.},
  journal={IEICE Transactions on Information and Systems},
  year={2010},
  publisher={The Institute of Electronics, Information and Communication Engineers}
}

@article{Scott2006,
  title={Learning minimum volume sets},
  author={Scott, C.D and Nowak, R.D},
  journal={JMLR},
  year={2006},
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%ù Random Forest %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{Breiman2001,
year={2001},
issn={0885-6125},
journal={Machine Learning},
title={Random Forests},
publisher={Kluwer Academic Publishers},
author={Breiman, L.},
language={English}
}

@incollection{Louppe2013,
title = {Understanding variable importances in forests of randomized trees},
author = {Louppe, G. and Wehenkel, L. and Sutera, A. and Geurts, P.},
booktitle = {Advances in Neural Information Processing Systems 26},
editor = {C.J.C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K.Q. Weinberger},
year = {2013},
publisher = {Curran Associates, Inc.},
}

@article{Shannon2001,
  title={A mathematical theory of communication},
  author={Shannon, C. E.},
  journal={ACM SIGMOBILE MC2R},
  year={2001},
}

@article{Gini1912,
   author = {Gini, C.},
   title = {Variabilita e mutabilita.},
   journal = {Memorie di metodologia statistica},
   publisher = {Libreria Eredi Virgilio Veschi, Rome},
   year = {1912}
}

@article{Geurts2006,
  title={Extremely randomized trees},
  author={Geurts, P. and Ernst, D. and Wehenkel, L.},
  journal={Machine learning},
  year={2006},
  publisher={Springer}
}

@incollection{Desir12,
year={2012},
booktitle={Structural, Syntactic, and Statistical Pattern Recognition},
title={A New Random Forest Method for One-Class Classification},
publisher={Springer},
author={D{\'e}sir, C. and Bernard, S. and Petitjean, C. and Heutte, L.},
}

@article{Desir13,
 author = {D{\'e}sir, Chesner and Bernard, Simon and Petitjean, Caroline and Heutte, Laurent},
 title = {One Class Random Forests},
 journal = {Pattern Recogn.},
 year = {2013},
 publisher = {Elsevier Science Inc.},
} 

@article{Shi2012,
  title={Unsupervised learning with random forest predictors},
  author={Shi, T. and Horvath, S.},
  journal={J. Comp. Graph. Stat.},
  year={2012},
}

@inproceedings{Flach2003,
  title={The geometry of ROC space: understanding ml metrics through ROC isometrics},
  author={Flach, P.A.},
  booktitle={ICML},
  year={2003}
}

@article{Ho1998,
  title={The random subspace method for constructing decision forests},
  author={Ho, T.K.},
  journal={TPAMI},
  year={1998},
  publisher={IEEE}
}

@article{Amit1997,
  title={Shape quantization and recognition with randomized trees},
  author={Amit, Y. and Geman, D.},
  journal={Neural comp.},
  year={1997},
}

@book{Panov2007,
  title={Combining bagging and random subspaces to create better ensembles},
  author={Panov, P. and D{\v{z}}eroski, S.},
  year={2007},
  publisher={Springer}
}

@article{Svetnik2003,
  title={Random forest: a classification and regression tool for compound classification and QSAR modeling},
  author={Svetnik, V. and Liaw, A. and Tong, C. and Culberson, J C. and Sheridan, R.P and Feuston, B.P},
  journal={J. Chem. Inf. Model.},
  year={2003},
}

@article{Diaz2006,
  title={Gene selection and classification of microarray data using random forest},
  author={D{\'\i}az-Uriarte, R. and De Andres, S.A.},
  journal={BMC bioinformatics},
  year={2006},
  publisher={BioMed Central}
}

@article{Genuer2010,
  title={Variable selection using random forests},
  author={Genuer, R. and Poggi, J.-M. and Tuleau-Malot, C.},
  journal={Pattern Recog. Letters},
  year={2010},
  publisher={Elsevier}
}

@article{Genuer2008,
  title={Random Forests: some methodological insights},
  author={Genuer, R. and Poggi, J.-M. and Tuleau, C.},
  journal={arXiv:0811.3619},
  year={2008}
}

@article{Louppe2014,
  title={Understanding random forests: From theory to practice},
  booktitle={PhD thesis},
  author={Louppe, G.},
  journal={arXiv:1407.7502},
  year={2014}
}

@article{Scornet2015,
  title={Consistency of random forests},
  author={Scornet, Erwan and Biau, G{\'e}rard and Vert, Jean-Philippe and others},
  journal={The Annals of Statistics},
  volume={43},
  number={4},
  pages={1716--1741},
  year={2015},
  publisher={Institute of Mathematical Statistics}
}

@article{Biau2016,
  title={A random forest guided tour},
  author={Biau, G. and Scornet, E.},
  journal={Test},
  volume={25},
  number={2},
  pages={197--227},
  year={2016},
  publisher={Springer}
}

@article{Biau2008,
  title={Consistency of random forests and other averaging classifiers},
  author={Biau, G. and Devroye, L. and Lugosi, G.},
  journal={Journal of Machine Learning Research},
  volume={9},
  number={Sep},
  pages={2015--2033},
  year={2008}
}

@inproceedings{Blanchard2004,
  title={Oracle bounds and exact algorithm for dyadic classification trees},
  author={Blanchard, G. and Sch{\"a}fer, C. and Rozenholc, Y.},
  booktitle={International Conference on Computational Learning Theory},
  pages={378--392},
  year={2004},
  organization={Springer}
}

@inproceedings{Scott2009,
  title={Novelty detection: Unlabeled data definitely help.},
  author={Scott, C. and Blanchard, G.},
  booktitle={AISTATS},
  pages={464--471},
  year={2009}
}

@inproceedings{CLEM14,author={S. Cl\'emen\c{c}on and S. Robbiano},year={2014},title={{Anomaly Ranking as Supervised Bipartite Ranking}},booktitle={ICML}}

@article{Clemencon2009Tree,
  title={Tree-based ranking methods},
  author={Cl{\'e}men{\c{c}}on, S. and Vayatis, N.},
  journal={IEEE Transactions on Information Theory},
  volume={55},
  number={9},
  pages={4316--4336},
  year={2009},
  publisher={IEEE}
}

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% EXTREMES %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@article{Fougeres2015,
  title={Bias correction in multivariate extremes},
  author={Fougeres, A.-L. and De Haan, L. and Mercadier, C.},
  journal={The Annals of Statistics},
  volume={43},
  number={2},
  pages={903--934},
  year={2015},
  publisher={Institute of Mathematical Statistics}
}

@article{Beirlant2015,
  title = {Bias-corrected estimation of stable tail dependence function},
  author = {Beirlant, Jan and Escobar-Bach, Mikael and Goegebeur, Yuri and Guillou, Armelle},
  journal = {https://hal.archives-ouvertes.fr/hal-01115538},
  year = {2015},
  month ={Feb}
}
@ARTICLE {Embrechts2000,
    author  = "Embrechts, P. and de Haan, L. and Huang, X.",
    title   = "Modelling Multivariate Extremes",
    journal = "Extremes and Integrated Risk Management (Ed. P. Embrechts)",
    year    = "2000",
    volume  = "RISK Books",
    number  = "59-67",
}

@article{Stephenson2003,
  title={Simulating multivariate extreme value distributions of logistic type},
  author={Stephenson, Alec},
  journal={Extremes},
  volume={6},
  number={1},
  pages={49--59},
  year={2003},
  publisher={Springer}
}


@article{stephenson2009high,
  title={High-Dimensional Parametric Modelling of Multivariate Extreme Events},
  author={Stephenson, A.G.},
  journal={Australian \& New Zealand Journal of Statistics},
  volume={51},
  number={1},
  pages={77--88},
  year={2009},
  publisher={Wiley-Blackwell}
}


@article{Tawn90,
  title={Modelling multivariate extreme value distributions},
  author={Tawn, JA},
  journal={Biometrika},
  volume={77},
  number={2},
  pages={245--253},
  year={1990},
  publisher={Biometrika Trust}
}


@article{Drees98,
 author = {Drees, H. and Huang, X.},
 title = {Best Attainable Rates of Convergence for Estimators of the Stable Tail Dependence Function},
 journal = {J. Multivar. Anal.},
 issue_date = {Jan., 1998},
 volume = {64},
 number = {1},
 month = jan,
 year = {1998},
 pages = {25--47},
 publisher = {Academic Press, Inc.},
 address = {Orlando, FL, USA},
}


@article{Einmahl2012,
author = "Einmahl, J. H. J. and Krajina, A. and Segers, J.",
fjournal = "The Annals of Statistics",
journal = "Ann. Statist.",
pages = "1764--1793",
publisher = "The Institute of Mathematical Statistics",
title = "An M-estimator for tail dependence in arbitrary dimensions",
volume = "40",
year = "2012"
}

@article{ELL2009,
author = {Einmahl, J. H. J. and Li, J. and Liu, R. Y.},
title = {Thresholding Events of Extreme in Simultaneous Monitoring of Multiple Risks},
journal = {Journal of the American Statistical Association},
volume = {104},
number = {487},
pages = {982-992},
year = {2009},
}


@article{Hill1975,
author = "Hill, B. M.",
fjournal = "The Annals of Statistics",
journal = "Ann. Statist.",
month = "09",
number = "5",
pages = "1163--1174",
publisher = "The Institute of Mathematical Statistics",
title = "A Simple General Approach to Inference About the Tail of a Distribution",
volume = "3",
year = "1975"
}

@article{Smith1987,
author = "Smith, R. L.",
fjournal = "The Annals of Statistics",
journal = "Ann. Statist.",
month = "09",
number = "3",
pages = "1174--1207",
publisher = "The Institute of Mathematical Statistics",
title = "Estimating Tails of Probability Distributions",
volume = "15",
year = "1987"
}


@article{BVT1996,
author = {Beirlant, J. and Vynckier, P. and Teugels, J. L.},
title = {Tail Index Estimation, Pareto Quantile Plots Regression Diagnostics},
journal = {Journal of the American Statistical Association},
volume = {91},
number = {436},
pages = {1659-1667},
year = {1996},
}


@article{DEd1989,
author = "Dekkers, A. L. M. and Einmahl, J. H. J. and de Haan, L. ",
fjournal = "The Annals of Statistics",
journal = "Ann. Statist.",
month = "12",
number = "4",
pages = "1833--1855",
publisher = "The Institute of Mathematical Statistics",
title = "A Moment Estimator for the Index of an Extreme-Value Distribution",
volume = "17",
year = "1989"
}


@article{dR1977,
year={1977},
journal={Zeitschrift für Wahrscheinlichkeitstheorie und Verwandte Gebiete},
volume={40},
number={4},
title={Limit theory for multivariate sample extremes},
publisher={Springer-Verlag},
author={de Haan, L. and Resnick, S.I.},
pages={317-337},
language={English}
}

@article{Einmahl2006,
author = "Einmahl, J. H. J. and de Haan, L. and Li, D.",
fjournal = "The Annals of Statistics",
journal = "Ann. Statist.",
month = "08",
number = "4",
pages = "1987--2014",
publisher = "The Institute of Mathematical Statistics",
title = "Weighted approximations of tail copula processes with application to testing the bivariate extreme value condition",
volume = "34",
year = "2006"
}

@book{Resnick1987,
    Author = {Resnick, S.},
    Publisher = {Springer Series in Operations Research and Financial Engineering},
    Title = {Extreme Values, Regular Variation, and Point Processes},
    Year = {1987}
}

@article{deHaan1996,
  title={Second-order regular variation and rates of convergence in extreme-value theory},
  author={de Haan, L. and Resnick, S.},
  journal={The Annals of Probability},
  pages={97--124},
  year={1996},
  publisher={JSTOR}
}


@book{dHF06,
 author               = {de Haan, L. and Ferreira, A.},
 note                 = {An introduction},
 publisher            = {Springer},
 series               = {Springer Series in Operations Research and Financial Engineering},
 title                = {Extreme value theory},
 year                 = {2006},
 }


@book{BGTS04,
 author               = {Beirlant, J. and Goegebeur, Y. and Teugels, J. and Segers, J.},
 publisher            = {Wiley},
 series               = {Wiley Series in Probability and Statistics},
 title                = {Statistics of Extremes: Theory and Applications},
 year                 = {2004},
}


@book{Coles2001,
  address = {London},
  author = {Coles, S.},
  publisher = {Springer-Verlag},
  series = {Springer Series in Statistics},
  title = {An introduction to statistical modeling of extreme values},
  year = 2001
}

@article{coles1991modeling,
    Author = {Coles, SG and Tawn, JA},
    Journal = {JR Statist. Soc. B},
    Pages = {377--392},
    Title = {Modeling extreme multivariate events},
    Volume = {53},
    Year = {1991}}



@article{cooley2010pairwise,
  title={The pairwise beta distribution: A flexible parametric multivariate model for extremes},
  author={Cooley, D. and Davis, R.A. and Naveau, P.},
  journal={Journal of Multivariate Analysis},
  volume={101},
  number={9},
  pages={2103--2117},
  year={2010},
  publisher={Elsevier}
}


@article{Qi97,
year={1997},
journal={Acta Mathematicae Applicatae Sinica},
volume={13},
number={2},
title={Almost sure convergence of the stable tail empirical dependence function in multivariate extreme statistics},
publisher={Springer-Verlag},
keywords={Multivariate extreme value; stable tail empirical dependence function; almost sure convergence},
author={Qi, Y.},
pages={167-175},
}

@misc{Huangphd,
   title = "Statistics of Bivariate Extreme Values",
   booktitle={PhD thesis},
   author = "Huang, X.",
   publisher = "Erasmus University",
   address = "Rotterdam",
   year = 1992
}

@article{sabourinNaveau2012,
title = "Bayesian Dirichlet mixture model for multivariate extremes: A re-parametrization ",
journal = "Computational Statistics \& Data Analysis ",
author = "Anne Sabourin and Philippe Naveau",
year = "2012"
}


@article{fougeres2009models,
  title={Models for dependent extremes using stable mixtures},
  author={Foug{\`e}res, A.-L. and Nolan, J.P. and Rootz{\'e}n, H.},
  journal={Scandinavian Journal of Statistics},
  volume={36},
  number={1},
  pages={42--59},
  year={2009},
  publisher={Wiley Online Library}
}

@book{finkenstadt2003extreme,
  title={Extreme values in finance, telecommunications, and the environment},
  author={Finkenstadt, Barbel and Rootz{\'e}n, Holger},
  year={2003},
  publisher={CRC Press}
}

@article{Segers12,
  author = {Segers, J.},
  journal = {REVSTAT - Statistical Journal},
  keywords = {Extremes Extremes:multivariate maxstable},
  number = 1,
  pages = {61--82},
  title = {Max-stable models for multivariate extremes},
  volume = 10,
  year = 2012
}

@article{smith2003statistics,
  title={Statistics of extremes, with applications in environment, insurance and finance, chap 1},
  author={Smith, RL},
  journal={Statistical analysis of extreme values: with applications to insurance, finance, hydrology, and other fields. Birkh{\"a}user, Basel},
  year={2003}
}

@book{Falk94,
    address = {Boston},
    author = {Falk, M. and Huesler, J. and Reiss, R. D.},
    publisher = {Birkhauser},
    title = {{Laws of Small Numbers: Extremes and Rare Events}},
    year = {1994}
}


@article{Einmahl2009,
  title={Maximum empirical likelihood estimation of the spectral measure of an extreme-value distribution},
  author={Einmahl, J. H. J. and Segers, J.},
  journal={The Annals of Statistics},
  pages={2953--2989},
  year={2009},
  publisher={JSTOR}
}

@article{Einmahl2001,
  title={Nonparametric estimation of the spectral measure of an extreme value distribution},
  author={Einmahl, J.HJ and de Haan, L. and Piterbarg, V.I},
  journal={Annals of Statistics},
  pages={1401--1423},
  year={2001},
  publisher={JSTOR}
}


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% ANOMALY DETECTION %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% with EVT

@ARTICLE{Roberts99,
author={Roberts, S.J.},
journal={IEE P-Vis Image Sign},
title={Novelty detection using extreme value statistics},
year={1999},
}

@INPROCEEDINGS{Roberts2000,
author={Roberts, S.J.},
booktitle={Advances in Medical Signal and Information Processing, 2000. First International Conference on (IEE Conf. Publ. No. 476)},
title={Extreme value statistics for novelty detection in biomedical signal processing},
year={2000},
month={},
pages={166-172},

}

@article{Clifton2011,
  title={Novelty detection with multivariate extreme value statistics},
  author={Clifton, David Andrew and Hugueny, Samuel and Tarassenko, Lionel},
  journal={Journal of signal processing systems},
  volume={65},
  number={3},
  pages={371--389},
  year={2011},
  publisher={Springer}
}

@inproceedings{Lee2008,
  title={On-line novelty detection using the Kalman filter and extreme value theory},
  author={Lee, H.J. and Roberts, S.J.},
  booktitle={Pattern Recognition, 2008. ICPR 2008. 19th International Conference on},
  pages={1--4},
  year={2008},
}

@inproceedings{Clifton2008,
  title={Bayesian extreme value statistics for novelty detection in gas-turbine engines},
  author={Clifton, D.A. and Tarassenko, L. and McGrogan, N. and King, D. and King, S. and Anuzis, P.},
  booktitle={Aerospace Conference, 2008 IEEE},
  pages={1--11},
  year={2008},
}

@article{Broadwater2010,
  title={Adaptive threshold estimation via extreme value theory},
  author={Broadwater, J.B. and Chellappa, R.},
  journal={Signal Processing, IEEE Transactions on},
  volume={58},
  number={2},
  pages={490--500},
  year={2010},
  publisher={IEEE}
}



%surveys:
@article{Hodge2004survey,
  title={A survey of outlier detection methodologies},
  author={Hodge, V.J. and Austin, J.},
  journal={Artif. Intel. Review},
  year={2004},
  publisher={Springer}
}

@article{Chandola2009survey,
  title={Anomaly detection: A survey},
  author={Chandola, V. and Banerjee, A. and Kumar, V.},
  journal={ACM Comput. Surv.},
  year={2009}
}


@article{Markou2003survey,
  title={Novelty detection: a review part 1: statistical approaches},
  author={Markou, M. and Singh, S.},
  journal={Signal proc.},
  year={2003},
  publisher={Elsevier}
}

@article{Patcha2007survey,
  title={An overview of anomaly detection techniques: Existing solutions and latest technological trends},
  author={Patcha, A. and Park, J.M.},
  journal={Computer Networks},
  year={2007},
  publisher={Elsevier}
}


%statistical approaches:

@book{Barnett94,
  title={Outliers in statistical data},
  author={Barnett, V. and Lewis, T.},
  year={1994},
  publisher={Wiley New York}
}
@book{Hawkins1980,
  title={Identification of outliers},
  author={Hawkins, D.M.},
  volume={11},
  year={1980},
  publisher={Springer}
}
@inproceedings{Eskin2000,
  title={Anomaly Detection over Noisy Data using Learned Probability Distributions},
  author={Eskin, E.},
  booktitle={ICML},
  year={2000},
}
@article{Desforges1998,
  title={Applications of probability density estimation to the detection of abnormal conditions in engineering},
  author={Desforges, M.J. and Jacob, P.J. and Cooper, J.E.},
  journal={Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science},
  volume={212},
  number={8},
  pages={687--703},
  year={1998},
  publisher={SAGE Publications}
}

% distance-based algo (part of kNN approaches)
@inproceedings{Knorr98,
  title={Algorithms for mining distance-based outliers in large datasets},
  author={Knorr, E.M. and Ng, R.T.},
  booktitle={Proceedings of the International Conference on Very Large Data Bases},
  pages={392--403},
  year={1998},
}

@article{Knorr2000,
  title={Distance-based outliers: algorithms and applications},
  author={Knorr, E.M. and Ng, R.T. and Tucakov, V.},
  journal={The VLDB Journal—The International Journal on Very Large Data Bases},
  volume={8},
  number={3-4},
  pages={237--253},
  year={2000},
  publisher={Springer-Verlag New York, Inc.}
}


% local-density-based: (part of kNN approaches)
@inproceedings{Breunig2000LOF,
  title={LOF: identifying density-based local outliers},
  author={Breunig, M.M. and Kriegel, H.P. and Ng, R.T. and Sander, J.},
  booktitle={ACM Sigmod Rec},
  year={2000},
}

@inproceedings{Bay2003,
  title={Mining distance-based outliers in near linear time with randomization and a simple pruning rule},
  author={Bay, S. and Schwabacher, M.},
  booktitle={KDD},
  year={2003},
}

@incollection{Breunig99LOF,
  title={Optics-of: Identifying local outliers},
  author={Breunig, M.M. and Kriegel, H.P. and Ng, R.T. and Sander, J.},
  booktitle={Principles of data mining and knowledge discovery},
  pages={262--270},
  year={1999},
  publisher={Springer}
}

@incollection{Tang2002enhancing,
  title={Enhancing effectiveness of outlier detections for low density patterns},
  author={Tang, J. and Chen, Z. and Fu, A.W.C. and Cheung, D.W.},
  booktitle={Advances in Knowledge Discovery and Data Mining},
  pages={535--548},
  year={2002},
  publisher={Springer}
}
@inproceedings{Papadimitriou2003loci,
  title={Loci: Fast outlier detection using the local correlation integral},
  author={Papadimitriou, S. and Kitagawa, H. and Gibbons, P.B. and Faloutsos, C.},
  booktitle={Data Engineering, 2003. Proceedings. 19th International Conference on},
  pages={315--326},
  year={2003},
}

@inproceedings{Hautamaki2004,
  title={Outlier Detection Using k-Nearest Neighbour Graph.},
  author={Hautam{\"a}ki, V. and K{\"a}rkk{\"a}inen, I. and Fr{\"a}nti, P.},
  booktitle={ICPR (3)},
  pages={430--433},
  year={2004}
}

% 3 algo inside : cluster-based- kNN(distance based) - SVM:
@incollection{Eskin2002geometric,
  title={A geometric framework for unsupervised anomaly detection},
  author={Eskin, E. and Arnold, A. and Prerau, M. and Portnoy, L. and Stolfo, S.},
  booktitle={Applications of data mining in computer security},
  pages={77--101},
  year={2002},
  publisher={Springer}
}



%others:

@inproceedings{Schubert2012,
  title={On Evaluation of Outlier Rankings and Outlier Scores.},
  author={Schubert, E. and Wojdanowski, R. and Zimek, A. and Kriegel, H-P.},
  booktitle={SDM},
  year={2012}
}

%%Aggarwal&Yu:
@inproceedings{Aggarwal2001,
  title={Outlier detection for high dimensional data},
  author={Aggarwal, C.C. and Yu, P.S.},
  booktitle={ACM Sigmod Record},
  year={2001},
}
%%angle-based:
@inproceedings{Kriegel2008,
  title={Angle-based outlier detection in high-dimensional data},
  author={Kriegel, H.P. and Schubert, M. and Zimek, A.},
  booktitle={KDD},
  year={2008},
}
%%IsolationForest:
@inproceedings{Liu2008,
  title={Isolation Forest},
  author={Liu, F.T. and Ting, K.M. and Zhou, Z.H.},
  booktitle={ICDM},
  year={2008},
}
%%IsolationForestLong:
@article{Liu2012,
 author = {Liu, F.T. and Ting, K.M. and Zhou, Z-H.},
 title = {Isolation-Based Anomaly Detection},
 journal = {ACM Trans. Knowl. Discov. Data},
 issue_date = {March 2012},
 month = mar,
 year = {2012},
 issn = {1556-4681},
 articleno = {3},
 numpages = {39},
 url = {http://doi.acm.org/10.1145/2133360.2133363},
 doi = {10.1145/2133360.2133363},
 acmid = {2133363},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Anomaly detection, binary tree, ensemble methods, isolation, isolation forest, outlier detection, random tree ensemble},
}


%%Spectral-bases
@techreport{Shyu2003,
  title={A novel anomaly detection scheme based on principal component classifier},
  author={Shyu, M.L. and Chen, S.C. and Sarinnapakorn, K. and Chang, L.},
  year={2003},
  institution={DTIC Document}
}

@incollection{Wang2004,
  title={A novel intrusion detection method based on principle component analysis in computer security},
  author={Wang, W. and Guan, X. and Zhang, X.},
  booktitle={Advances in Neural Networks-ISNN 2004},
  year={2004},
  publisher={Springer}
}%citation 50

@inproceedings{Wang2006,
  title={Identifying intrusions in computer networks with principal component analysis},
  author={Wang, W. and Battiti, R.},
  booktitle={Availability, Reliability and Security, 2006. ARES 2006. The First International Conference on},
  year={2006},
}%citation 50

@inproceedings{Bouzida2004,
  title={Efficient intrusion detection using principal component analysis},
  author={Bouzida, Y. and Cuppens, F. and Cuppens-Boulahia, N. and Gombault, S.},
  booktitle={3{\'e}me Conf{\'e}rence sur la S{\'e}curit{\'e} et Architectures R{\'e}seaux (SAR), La Londe, France},
  year={2004}
}%citation 50

@article{Lee2013,
  title={{Anomaly detection via online oversampling principal component analysis}},
  author={Lee, Y.J. and Yeh, Y.R. and Wang, Y.C.F.},
  journal={Knowledge and Data Engineering, IEEE Transactions on},
  year={2013},
}%%good review inside

%%unsupervised treerank:
@inproceedings{Clemencon2014,
  title={Anomaly ranking as supervised bipartite ranking},
  author={Cl{\'e}men{\c{c}}on, S. and Robbiano, S.},
  booktitle={ICML},
  year={2014}
}



%%%%%%%%%%%%%% DATASETS %%%%%%%%%%

@inproceedings{Lippmann2000,
  title={Analysis and results of the 1999 DARPA off-line intrusion detection evaluation},
  author={Lippmann, R. and Haines, J. W and Fried, D.J. and Korba, J. and Das, K.},
  booktitle={Recent Advances in Intrusion Detection},
  pages={162--182},
  year={2000},
  organization={Springer}
}

@incollection{Eskin2002,
  title={A geometric framework for unsupervised anomaly detection},
  author={Eskin, E. and Arnold, A. and Prerau, M. and Portnoy, L. and Stolfo, S.},
  booktitle={Applications of data mining in computer security},
  pages={77--101},
  year={2002},
  publisher={Springer}
}

% UCI repo:
@misc{Lichman2013,
author = "Lichman, M.",
year = "2013",
title = "{UCI} Machine Learning Repository",
url = "http://archive.ics.uci.edu/ml",
institution = "University of California, Irvine, School of Information and Computer Sciences"
}

%KDD analysis:
@inproceedings{Tavallaee2009,
  title={A detailed analysis of the KDD CUP 99 data set},
  author={Tavallaee, M. and Bagheri, E. and Lu, W. and Ghorbani, A.A.},
  booktitle={IEEE CISDA},
  year={2009}
}

@article{KDD99,
 author={KDDCup},
  title={The third international knowledge discovery and data mining tools competition dataset},
  year={1999}
}

%KDD to SF:
@inproceedings{Yamanishi2000,
  title={On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms},
  author={Yamanishi, K. and Takeuchi, J.I. and Williams, G. and Milne, P.},
  booktitle={KDD},
  year={2000},
}


%%%%%%%%%%%%%%%%%%  SVM  %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
@book{Shawe2004,
  title={Kernel methods for pattern analysis},
  author={Shawe-Taylor, J. and Cristianini, N.},
  year={2004},
  publisher={Cambridge univ. press}
}

@article{Cortes1995,
 author = {Cortes, C. and Vapnik, V.},
 title = {Support-Vector Networks},
 journal = {Machine Learning},
 year = {1995},
}
%%%%%%%%%%%%%%ù Boosting %%%%%%%%%%%%%%%%%%%%%%%%%%

@inproceedings{Freund1996,
  title={Experiments with a new boosting algorithm},
  author={Freund, Y. and Schapire, R.E and others},
  booktitle={ICML},
  year={1996}
}