bibliography.bib

%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Gerry Murray",
%%%     version         = "1.2",
%%%     date            = "2 April 2012",
%%%     filename        = "acmsmall-sample-bibfile.bib",
%%%     address         = "ACM, NY",
%%%     email           = "murray at hq.acm.org",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "ACM Reference Format, bibliography, citation, references",
%%%     supported       = "yes",
%%%     docstring       = "This BibTeX database file contains 'bibdata' entries
%%%                        that 'match' the examples provided in the Specifications Document
%%%                        AND, also, 'legacy'-type bibs. It should assist authors in 
%%%                        choosing the 'correct' at-bibtype and necessary bib-fields
%%%                        so as to obtain the appropriate ACM Reference Format output. 
%%%			   It also contains many 'Standard Abbreviations'. "
%%%  }
%%% ====================================================================

@inproceedings{read2011streaming,
  title={Streaming Multi-label Classification.},
  author={Read, Jesse and Bifet, Albert and Holmes, Geoff and Pfahringer, Bernhard},
  booktitle={WAPA},
  pages={19--25},
  year={2011}
}
@article{read2012scalable,
  title={Scalable and Efficient Multi-Label Classification for Evolving Data Streams},
  author={Jesse Read and Albert Bifet and Geoff Holmes and Bernhard Pfahringer},
  journal={Machine Learning},
  volume={88},
  number={1-2},
  pages={243--272},
  year={2012},
  publisher={Springer}
}
@inproceedings{read2009classifier,
  title={Classifier Chains for Multi-Label Classification},
  author={Read, Jesse and Pfahringer, Bernhard and Holmes, Geoff and Frank, Eibe},
  booktitle={Joint European Conference on Machine Learning and Knowledge Discovery in Databases},
  pages={254--269},
  year={2009},
  organization={Springer}
}
@inproceedings{bifet2011moa,
  title={{MOA}: A Real-Time Analytics Open Source Framework},
  author={Bifet, Albert and Holmes, Geoff and Pfahringer, Bernhard and Read, Jesse and Kranen, Philipp and Kremer, Hardy and Jansen, Timm and Seidl, Thomas},
  booktitle={ECML PKDD},
  pages={617--620},
  year={2011},
  organization={Springer}
}
@mastersthesis{asl2016goowe,
  title={{GOOWE}: Geometrically Optimum and Online-Weighted Ensemble Classifier for Evolving Data Streams},
  author={Asl-Bonab, Hamed Rezanejad},
  year={2016},
  school={Bilkent University}
}
@inproceedings{parkfurnkranz2008labelconst,
  title={Multi-label Classification with Label Constraints},
  author={Park, Sang-Hyeun and F{\"u}rnkranz, Johannes},
  booktitle={Proceedings of the Proceedings of the ECML/PKDD-08 Workshop on Preference Learning (PL-08)},
  pages={157--171},
  year={2008},
  organization={Citeseer}
}
@inproceedings{read2009generating,
  title={Generating Synthetic Multi-Label Data Streams},
  author={Read, Jesse and Pfahringer, Bernhard and Holmes, Geoff},
  booktitle={ECML/PKKD 2009 Workshop on Learning from Multi-label Data (MLD’09)},
  pages={69--84},
  year={2009}
}
@article{cheng2009combining,
  title={Combining Instance-Based Learning and Logistic Regression for Multilabel Classification},
  author={Cheng, Weiwei and H{\"u}llermeier, Eyke},
  journal={Machine Learning},
  volume={76},
  number={2-3},
  pages={211--225},
  year={2009},
  publisher={Springer}
}
@inproceedings{godbole2004discriminative,
  title={Discriminative Methods for Multi-Labeled Classification},
  author={Godbole, Shantanu and Sarawagi, Sunita},
  booktitle={PAKDD},
  pages={22--30},
  year={2004},
  organization={Springer}
}
@article{hullermeier2008label,
  title={Label Ranking by Learning Pairwise Preferences},
  author={H{\"u}llermeier, Eyke and F{\"u}rnkranz, Johannes and Cheng, Weiwei and Brinker, Klaus},
  journal={Artificial Intelligence},
  volume={172},
  number={16},
  pages={1897--1916},
  year={2008},
  publisher={Elsevier}
}
@article{tsoumakas2006overview,
  title={Multi-Label Classification: An Overview},
  author={Tsoumakas, Grigorios and Katakis, Ioannis},
  journal={International Journal of Data Warehousing and Mining},
  volume={3},
  number={3},
  year={2006}
}
@article{hall2009weka,
  title={The WEKA Data Mining software: An Update},
  author={Hall, Mark and Frank, Eibe and Holmes, Geoffrey and Pfahringer, Bernhard and Reutemann, Peter and Witten, Ian H},
  journal={ACM SIGKDD explorations newsletter},
  volume={11},
  number={1},
  pages={10--18},
  year={2009},
  publisher={ACM}
}
@article{read2016meka,
  title={MEKA: A Multi-label/Multi-target Extension to WEKA},
  author={Read, Jesse and Reutemann, Peter and Pfahringer, Bernhard and Holmes, Geoff},
  journal={Journal of Machine Learning Research},
  volume={17},
  number={21},
  pages={1--5},
  year={2016}
}
@article{bifet2010moa,
  title={Moa: Massive Online Analysis},
  author={Bifet, Albert and Holmes, Geoff and Kirkby, Richard and Pfahringer, Bernhard},
  journal={Journal of Machine Learning Research},
  volume={11},
  number={May},
  pages={1601--1604},
  year={2010}
}
@inproceedings{qu2009mining,
  title={Mining Multi-Label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble},
  author={Qu, Wei and Zhang, Yang and Zhu, Junping and Qiu, Qiang},
  booktitle={Asian Conference on Machine Learning},
  pages={308--321},
  year={2009},
  organization={Springer}
}
@article{zhang2014review,
  title={A Review on Multi-Label Learning Algorithms},
  author={Min-Ling Zhang and Zhi-Hua Zhou},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  volume={26},
  number={8},
  pages={1819--1837},
  year={2014},
  publisher={IEEE}
}
 @inproceedings{tsoumakas2008effective,
  title={Effective and Efficient Multilabel Classification in Domains with Large Number of Labels},
  author={Tsoumakas, Grigorios and Katakis, Ioannis and Vlahavas, Ioannis},
  booktitle={Proc. ECML/PKDD 2008 Workshop on Mining Multidimensional Data (MMD’08)},
  pages={30--44},
  year={2008}
}
@article{tsoumakas2011rakel,
  title={Random k-Labelsets for Multilabel Classification},
  author={Tsoumakas, Grigorios and Katakis, Ioannis and Vlahavas, Ioannis},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  volume={23},
  number={7},
  pages={1079--1089},
  year={2011},
  publisher={IEEE}
}
@article{gibaja2015tutorial,
  title={A Tutorial on Multilabel Learning},
  author={Gibaja, Eva and Ventura, Sebastian},
  journal={ACM Computing Surveys (CSUR)},
  volume={47},
  number={3},
  pages={52},
  year={2015},
  publisher={ACM}
}
@article{zhang2007ml,
  title={ML-KNN: A Lazy Learning Approach to Multi-Label Learning},
  author={Zhang, Min-Ling and Zhou, Zhi-Hua},
  journal={Pattern Recognition},
  volume={40},
  number={7},
  pages={2038--2048},
  year={2007},
  publisher={Elsevier}
}
@inproceedings{kranen2012stream,
  title={Stream Data Mining Using the MOA Framework},
  author={Kranen, Philipp and Kremer, Hardy and Jansen, Timm and Seidl, Thomas and Bifet, Albert and Holmes, Geoff and Pfahringer, Bernhard and Read, Jesse},
  booktitle={International Conference on Database Systems for Advanced Applications},
  pages={309--313},
  year={2012},
  organization={Springer}
}
@article{Gomes:2017:SEL:3071073.3054925,
 author = {Gomes, Heitor Murilo and Barddal, Jean Paul and Enembreck, Fabr\'{\i}cio and Bifet, Albert},
 title = {A Survey on Ensemble Learning for Data Stream Classification},
 journal = {ACM Comput. Surv.},
 issue_date = {May 2017},
 volume = {50},
 number = {2},
 month = mar,
 year = {2017},
 issn = {0360-0300},
 pages = {23:1--23:36},
 articleno = {23},
 numpages = {36},
 acmid = {3054925},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {Ensemble learning, data stream classification, supervised learning},
} 
% url = {http://doi.acm.org/10.1145/3054925},
% doi = {10.1145/3054925},
@techreport{sorower2010literature,
  title={A Literature Survey on Algorithms for Multi-Label Learning},
  author={Sorower, Mohammad S},
  institution={Oregon State University, Corvallis},
  year={2010}
}
@article{Krawczyk2017132,
title = "Ensemble Learning for Data Stream Analysis: A Survey ",
journal = "Information Fusion ",
volume = "37",
number = "",
pages = "132 - 156",
year = "2017",
note = "",
issn = "1566-2535",
author={Krawczyk, Bartosz and Minku, Leandro L and Gama, Joao and Stefanowski, Jerzy and Wo{\'z}niak, Micha{\l}},
keywords = "Ensemble learning",
keywords = "Data streams",
keywords = "Concept drift",
keywords = "Online learning",
keywords = "Non-stationary environments "
}%doi = "https://doi.org/10.1016/j.inffus.2017.02.004",
%url = "http://www.sciencedirect.com/science/article/pii/S1566253516302329",
@inproceedings{clare2001knowledge,
  title={Knowledge Discovery in Multi-Label Phenotype Data},
  author={Clare, Amanda and King, Ross D},
  booktitle={European Conference on Principles of Data Mining and Knowledge Discovery},
  pages={42--53},
  year={2001},
  organization={Springer}
}
@article{friedman1997bias,
  title={On Bias, Variance, 0/1—loss, and the Curse-of-Dimensionality},
  author={Friedman, Jerome H},
  journal={Data mining and knowledge discovery},
  volume={1},
  number={1},
  pages={55--77},
  year={1997},
  publisher={Springer}
}
@inproceedings{freund1996experiments,
  title={Experiments with a New Boosting Algorithm},
  author={Freund, Yoav and Schapire, Robert E and others},
  booktitle={icml},
  volume={96},
  pages={148--156},
  year={1996}
}
@inproceedings{oza2005onlinebb,
  title={Online Bagging and Boosting},
  author={Oza, Nikunj C},
  booktitle={2005 IEEE International Conference on Systems, Man and Cybernetics},
  volume={3},
  pages={2340--2345},
  year={2005},
  organization={IEEE}
}
@Inbook{Tsoumakas2010,
author="Tsoumakas, Grigorios
and Katakis, Ioannis
and Vlahavas, Ioannis",
editor="Maimon, Oded
and Rokach, Lior",
title="Mining Multi-label Data",
bookTitle="Data Mining and Knowledge Discovery Handbook",
year="2010",
publisher="Springer US",
address="Boston, MA",
pages="667--685",
abstract="A large body of research in supervised learning deals with the analysis of single-label data, where training examples are associated with a single label $\lambda$ from a set of disjoint labels L. However, training examples in several application domains are often associated with a set of labels Y ⊆ L. Such data are called multi-label.",
isbn="978-0-387-09823-4",
doi="10.1007/978-0-387-09823-4_34",
url="http://dx.doi.org/10.1007/978-0-387-09823-4_34"
}
@article{waegeman2014bayes,
  title={On the bayes-optimality of F-measure maximizers},
  author={Waegeman, Willem and Dembczy{\'n}ki, Krzysztof and Jachnik, Arkadiusz and Cheng, Weiwei and H{\"u}llermeier, Eyke},
  journal={The Journal of Machine Learning Research},
  volume={15},
  number={1},
  pages={3333--3388},
  year={2014},
  publisher={JMLR. org}
}
@article{tahir2012multilabel,
  title={Multilabel classification using heterogeneous ensemble of multi-label classifiers},
  author={Tahir, Muhammad Atif and Kittler, Josef and Bouridane, Ahmed},
  journal={Pattern Recognition Letters},
  volume={33},
  number={5},
  pages={513--523},
  year={2012},
  publisher={Elsevier}
}
@inproceedings{read2008pruned,
  title={Multi-label Classification Using Ensembles of Pruned Sets},
  author={Read, Jesse and Pfahringer, Bernhard and Holmes, Geoff},
  booktitle={The Eighth IEEE ICDM},
  pages={995--1000},
  year={2008},
  organization={IEEE}
}
@article{gibaja2014review,
  title={Multi-Label Learning: A Review of the State of the Art and Ongoing Research},
  author={Gibaja, Eva and Ventura, Sebasti{\'a}n},
  journal={Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
  volume={4},
  number={6},
  pages={411--444},
  year={2014},
  publisher={Wiley Online Library}
}
@article{dietterich2000ensemble,
  title={Ensemble methods in machine learning},
  author={Dietterich, Thomas G and others},
  journal={Multiple classifier systems},
  volume={1857},
  pages={1--15},
  year={2000},
  publisher={Springer}
}
@inproceedings{cheng2010pcc,
  title={Bayes optimal multilabel classification via probabilistic classifier chains},
  author={Cheng, Weiwei and H{\"u}llermeier, Eyke and Dembczynski, Krzysztof J},
  booktitle={Proceedings of the 27th international conference on machine learning (ICML-10)},
  pages={279--286},
  year={2010}
}
@article{read2015trellis,
  title={Scalable multi-output label prediction: From classifier chains to classifier trellises},
  author={Read, Jesse and Martino, Luca and Olmos, Pablo M and Luengo, David},
  journal={Pattern Recognition},
  volume={48},
  number={6},
  pages={2096--2109},
  year={2015},
  publisher={Elsevier}
}
@article{read2014montecarlo,
  title={Efficient monte carlo methods for multi-dimensional learning with classifier chains},
  author={Read, Jesse and Martino, Luca and Luengo, David},
  journal={Pattern Recognition},
  volume={47},
  number={3},
  pages={1535--1546},
  year={2014},
  publisher={Elsevier}
}
@article{osojnik2017isoup,
  title={Multi-label Classification via Multi-Target Regression on Data Streams},
  author={Osojnik, Alja{\v{z}} and Panov, Pan{\v{c}}e and D{\v{z}}eroski, Sa{\v{s}}o},
  journal={Machine Learning},
  volume={106},
  number={6},
  pages={745--770},
  year={2017},
  publisher={Springer}
}
@article{tai2012plst,
  title={Multilabel Classification with Principal Label Space Transformation},
  author={Tai, Farbound and Lin, Hsuan-Tien},
  journal={Neural Computation},
  volume={24},
  number={9},
  pages={2508--2542},
  year={2012},
  publisher={MIT Press}
}
@article{furnkranz2008clr,
  title={Multilabel classification via calibrated label ranking},
  author={F{\"u}rnkranz, Johannes and H{\"u}llermeier, Eyke and Menc{\'\i}a, Eneldo Loza and Brinker, Klaus},
  journal={Machine learning},
  volume={73},
  number={2},
  pages={133--153},
  year={2008},
  publisher={Springer}
}
@article{lewis2004rcv1,
  title={Rcv1: A New Benchmark Collection for Text Categorization Research},
  author={Lewis, David D and Yang, Yiming and Rose, Tony G and Li, Fan},
  journal={Journal of Machine Learning Research},
  volume={5},
  number={Apr},
  pages={361--397},
  year={2004}
}
@inproceedings{trohidis2008music,
  title={Multi-Label Classification of Music into Emotions.},
  author={Trohidis, Konstantinos and Tsoumakas, Grigorios and Kalliris, George and Vlahavas, Ioannis P},
  booktitle={ISMIR},
  volume={8},
  pages={325--330},
  year={2008}
}
@article{boutell2004scene,
  title={Learning Multi-Label Scene Classification},
  author={Boutell, Matthew R and Luo, Jiebo and Shen, Xipeng and Brown, Christopher M},
  journal={Pattern Recognition},
  volume={37},
  number={9},
  pages={1757--1771},
  year={2004},
  publisher={Elsevier}
}
@article{barutcuoglu2006hierarchical,
  title={Hierarchical Multi-Label Prediction of Gene Function},
  author={Barutcuoglu, Zafer and Schapire, Robert E and Troyanskaya, Olga G},
  journal={Bioinformatics},
  volume={22},
  number={7},
  pages={830--836},
  year={2006},
  publisher={Oxford University Press}
}
@inproceedings{elisseeff2002kernel,
  title={A kernel method for multi-labelled classification},
  author={Elisseeff, Andr{\'e} and Weston, Jason},
  booktitle={Advances in neural information processing systems},
  pages={681--687},
  year={2002}
}
@book{zhou2012ensemblebook,
  title={Ensemble methods: foundations and algorithms},
  author={Zhou, Zhi-Hua},
  year={2012},
  publisher={CRC press}
}
@article{CACMStaff:2017:BD:3098997.3079064,
 author = {CACM Staff},
 title = {Big Data},
 journal = {Commun. ACM},
 issue_date = {June 2017},
 volume = {60},
 number = {6},
 month = may,
 year = {2017},
 issn = {0001-0782},
 pages = {24--25},
 numpages = {2},
 acmid = {3079064},
 publisher = {ACM},
 address = {New York, NY, USA},
}  %url = {http://doi.acm.org/10.1145/3079064},
 %doi = {10.1145/3079064},
@article{gaber2005miningreview,
  title={Mining data streams: a review},
  author={Gaber, Mohamed Medhat and Zaslavsky, Arkady and Krishnaswamy, Shonali},
  journal={ACM Sigmod Record},
  volume={34},
  number={2},
  pages={18--26},
  year={2005},
  publisher={ACM}
}
@inproceedings{bifet2009adaptive-fourthings,
  title={Adaptive learning from evolving data streams},
  author={Bifet, Albert and Gavald{\`a}, Ricard},
  booktitle={International Symposium on Intelligent Data Analysis},
  pages={249--260},
  year={2009},
  organization={Springer}
}
@inproceedings{gama2009issues,
  title={Issues in Evaluation of Stream Learning Algorithms},
  author={Gama, Jo{\~a}o and Sebasti{\~a}o, Raquel and Rodrigues, Pedro Pereira},
  booktitle={the 15th ACM SIGKDD},
  pages={329--338},
  year={2009},
  organization={ACM}
}
@article{rokach2014rakelplusplus,
  title={Ensemble methods for multi-label classification},
  author={Rokach, Lior and Schclar, Alon and Itach, Ehud},
  journal={Expert Systems with Applications},
  volume={41},
  number={16},
  pages={7507--7523},
  year={2014},
  publisher={Elsevier}
}
@article{kuncheva2003measures,
  title={Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy},
  author={Kuncheva, Ludmila I and Whitaker, Christopher J},
  journal={Machine learning},
  volume={51},
  number={2},
  pages={181--207},
  year={2003},
  publisher={Springer}
}
@inproceedings{wang2017weighted,
  title={Weighted Ensemble Classification of Multi-label Data Streams},
  author={Wang, Lulu and Shen, Hong and Tian, Hui},
  booktitle={Pacific-Asia Conference on Knowledge Discovery and Data Mining},
  pages={551--562},
  year={2017},
  organization={Springer}
}
@article{breiman1996bagging,
  title={Bagging predictors},
  author={Breiman, Leo},
  journal={Machine learning},
  volume={24},
  number={2},
  pages={123--140},
  year={1996},
  publisher={Springer}
}
@inproceedings{freund1995decision,
  title={A decision-theoretic generalization of on-line learning and an application to boosting},
  author={Freund, Yoav and Schapire, Robert E},
  booktitle={European conference on computational learning theory},
  pages={23--37},
  year={1995},
  organization={Springer}
}
@article{wolpert1992stacked,
  title={Stacked generalization},
  author={Wolpert, David H},
  journal={Neural networks},
  volume={5},
  number={2},
  pages={241--259},
  year={1992},
  publisher={Elsevier}
}
@article{schapire1999improved,
  title={Improved boosting algorithms using confidence-rated predictions},
  author={Schapire, Robert E and Singer, Yoram},
  journal={Machine learning},
  volume={37},
  number={3},
  pages={297--336},
  year={1999},
  publisher={Springer}
}
@article{schapire2000boostexter,
  title={BoosTexter: A boosting-based system for text categorization},
  author={Robert E Schapire and Yoram Singer},
  journal={Machine learning},
  volume={39},
  number={2-3},
  pages={135--168},
  year={2000},
  publisher={Springer}
}
@inproceedings{zhu2005maxentropy-exactmatch,
  title={Multi-labelled classification using maximum entropy method},
  author={Zhu, Shenghuo and Ji, Xiang and Xu, Wei and Gong, Yihong},
  booktitle={Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval},
  pages={274--281},
  year={2005},
  organization={ACM}
}
@inproceedings{domingos2000mining,
  title={Mining High-speed Data Streams},
  author={Domingos, Pedro and Hulten, Geoff},
  booktitle={Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages={71--80},
  year={2000},
  organization={ACM}
}
@inproceedings{xioufis2011imbalance,
  title={Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification.},
  author={Xioufis, Eleftherios Spyromitros and Spiliopoulou, Myra and Tsoumakas, Grigorios and Vlahavas, Ioannis P},
  booktitle={IJCAI},
  pages={1583--1588},
  year={2011}
}
@inproceedings{bonab2016theoretical,
  title={A Theoretical Framework on the Ideal Number of Classifiers for Online Ensembles in Data Streams},
  author={Bonab, Hamed R and Can, Fazli},
  booktitle={Proceedings of the 25th ACM CIKM International Conference on Information and Knowledge Management},
  pages={2053--2056},
  year={2016},
  organization={ACM}
}
@inproceedings{wang2003awe,
  title={Mining Concept-Drifting Data Streams using Ensemble Classifiers},
  author={Wang, Haixun and Fan, Wei and Yu, Philip S and Han, Jiawei},
  booktitle={Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages={226--235},
  year={2003},
  organization={ACM}
}
@article{brzezinski2014aue2,
  title={Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm},
  author={Brzezinski, Dariusz and Stefanowski, Jerzy},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  volume={25},
  number={1},
  pages={81--94},
  year={2014},
  publisher={IEEE}
}
@inproceedings{bifet2007adwin,
  title={Learning from Time-changing Data with Adaptive Windowing},
  author={Bifet, Albert and Gavalda, Ricard},
  booktitle={Proceedings of the 2007 SIAM International Conference on Data Mining},
  pages={443--448},
  year={2007},
  organization={SIAM}
}
@article{wucrestani2015,
title = "A Geometric Framework for Data Fusion in Information Retrieval",
journal = "Information Systems",
volume = "50",
number = "Supplement C",
pages = "20 - 35",
year = "2015",
issn = "0306-4379",
author = "Shengli Wu and Fabio Crestani",
keywords = "Database searching",
keywords = "Geometric modeling",
keywords = "Information retrieval",
keywords = "Data fusion"
}%doi = "https://doi.org/10.1016/j.is.2015.01.001",
%url = "http://www.sciencedirect.com/science/article/pii/S0306437915000113",
@article{bonab2018goowe,
  title={{GOOWE}: {G}eometrically {O}ptimum and {O}nline-{W}eighted {E}nsemble classifier for evolving data streams},
  author={Hamed R Bonab and Fazli Can},
  journal={ACM Transactions on Knowledge Discovery from Data (TKDD)},
  volume={12},
  number={2},
  pages={25},
  year={2018},
  publisher={ACM}
}
@inproceedings{kuncheva2004classifier,
  title={Classifier Ensembles for Changing Environments},
  author={Kuncheva, Ludmila I},
  booktitle={International Workshop on Multiple Classifier Systems},
  pages={1--15},
  year={2004},
  organization={Springer}
}
@inproceedings{wang2012mining,
  title={Mining Multi-Label Data Streams using Ensemble-based Active Learning},
  author={Wang, Peng and Zhang, Peng and Guo, Li},
  booktitle={Proceedings of the 2012 SIAM international Conference on Data Mining},
  pages={1131--1140},
  year={2012},
  organization={SIAM}
}
@article{bojanczyk1984complexity,
  title={Complexity of Solving Linear Systems in Different Models of Computation},
  author={Boja{\'n}czyk, A},
  journal={SIAM Journal on Numerical Analysis},
  volume={21},
  number={3},
  pages={591--603},
  year={1984},
  publisher={SIAM}
}
@article{demvsar2006statistical,
  title={Statistical Comparisons of Classifiers over Multiple Data Sets},
  author={Dem{\v{s}}ar, Janez},
  journal={Journal of Machine learning research},
  volume={7},
  number={Jan},
  pages={1--30},
  year={2006}
}
@article{moyano2018review,
  title={Review of Ensembles of Multi-Label Classifiers: Models, Experimental Study and Prospects},
  author={Moyano, Jose M and Gibaja, Eva L and Cios, Krzysztof J and Ventura, Sebasti{\'a}n},
  journal={Information Fusion},
  volume={44},
  pages={33--45},
  year={2018},
  publisher={Elsevier}
}
@article{sousa2018multi,
  title={Multi-label Classification from High-Speed Data Streams with Adaptive Model Rules and Random Rules},
  author={Sousa, Ricardo and Gama, Jo{\~a}o},
  journal={Progress in Artificial Intelligence},
  pages={1--11},
  year={2018},
  publisher={Springer}
}
@book{zikopoulos2011bigdata,
  title={Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data},
  author={Zikopoulos, Paul and Eaton, Chris and others},
  year={2011},
  publisher={McGraw-Hill Osborne Media}
}
@book{aggarwal2007datastreams,
  title={Data streams: models and algorithms},
  author={Aggarwal, Charu C},
  volume={31},
  year={2007},
  publisher={Springer Science \& Business Media}
}
@article{normandeau2013beyondveracity,
  title={Beyond volume, variety and velocity is the issue of big data veracity},
  author={Normandeau, Kevin},
  journal={Inside Big Data},
  year={2013}
}
@inproceedings{bifet2009new,
  title={New Ensemble Methods for Evolving Data Streams},
  author={Bifet, Albert and Holmes, Geoff and Pfahringer, Bernhard and Kirkby, Richard and Gavald{\`a}, Ricard},
  booktitle={Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages={139--148},
  year={2009},
  organization={ACM}
}
@article{kolter2007dwm,
  title={Dynamic weighted majority: An ensemble method for drifting concepts},
  author={Kolter, J Zico and Maloof, Marcus A},
  journal={Journal of Machine Learning Research},
  volume={8},
  number={Dec},
  pages={2755--2790},
  year={2007}
}
@article{gama2014survey,
  title={A survey on concept drift adaptation},
  author={Gama, Jo{\~a}o and {\v{Z}}liobait{\.e}, Indr{\.e} and Bifet, Albert and Pechenizkiy, Mykola and Bouchachia, Abdelhamid},
  journal={ACM computing surveys (CSUR)},
  volume={46},
  number={4},
  pages={44},
  year={2014},
  publisher={ACM}
}
@article{brzezinski2014aue2,
  title={Reacting to different types of concept drift: The accuracy updated ensemble algorithm},
  author={Brzezinski, Dariusz and Stefanowski, Jerzy},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  volume={25},
  number={1},
  pages={81--94},
  year={2014},
  publisher={IEEE}
}
@inproceedings{lewis1998naivebayesassumption,
  title={Naive (Bayes) at forty: The independence assumption in information retrieval},
  author={Lewis, David D},
  booktitle={European conference on machine learning},
  pages={4--15},
  year={1998},
  organization={Springer}
}
@book{quinlan2014c45,
  title={C4. 5: programs for machine learning},
  author={Quinlan, J Ross},
  year={2014},
  publisher={Elsevier}
}
@inproceedings{kong2011smart,
  title={An ensemble-based approach to fast classification of multi-label data streams},
  author={Kong, Xiangnan and Yu, Philip},
  booktitle={Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom), 2011 7th International Conference On},
  pages={95--104},
  year={2011},
  organization={IEEE}
}
@article{chen2014bigdata,
  title={Big data: A survey},
  author={Chen, Min and Mao, Shiwen and Liu, Yunhao},
  journal={Mobile networks and applications},
  volume={19},
  number={2},
  pages={171--209},
  year={2014},
  publisher={Springer}
}
@article{li2015bigdata-variability,
  title={Big data in product lifecycle management},
  author={Li, Jingran and Tao, Fei and Cheng, Ying and Zhao, Liangjin},
  journal={The International Journal of Advanced Manufacturing Technology},
  volume={81},
  number={1-4},
  pages={667--684},
  year={2015},
  publisher={Springer}
}
@inproceedings{buyukccakir2018novel,
  title={A novel online stacked ensemble for multi-label stream classification},
  author={B{\"u}y{\"u}k{\c{c}}ak{\i}r, Alican and Bonab, Hamed and Can, Fazli},
  booktitle={Proceedings of the 27th ACM International Conference on Information and Knowledge Management},
  pages={1063--1072},
  year={2018},
  organization={ACM}
}