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% This file was created with JabRef 2.3.1.1% Encoding: Cp125223@Online{zappella,4author = {Giovanni Zappella},5title = {A Scalable Multiclass Algorithm for Node Classification},6version = {1},7date = {2011-12-19},8year = {2011},9eprinttype = {arxiv},10eprintclass = {cs.LG, cs.GT},11eprint = {http://arxiv.org/abs/1112.4344v1}12}1314@inproceedings{aggarwal2011,15author = {Charu C. Aggarwal AND Nan Li},16title = {On Node Classification in Dynamic Content-based Networks},17booktitle = {SDM},18year = {2011},19pages = {355-366},20ee = {http://siam.omnibooksonline.com/2011datamining/data/papers/033.pdf\#page=1},21bibsource = {DBLP, http://dblp.uni-trier.de}22}2324@book{DBLP:series/ads/2010-40,25editor = {Charu C. Aggarwal AND Haixun Wang},26title = {Managing and Mining Graph Data},27booktitle = {Managing and Mining Graph Data},28publisher = {Springer},29series = {Advances in Database Systems},30volume = {40},31year = {2010},32isbn = {978-1-4419-6044-3},33ee = {http://dx.doi.org/10.1007/978-1-4419-6045-0},34bibsource = {DBLP, http://dblp.uni-trier.de}35}3637@inproceedings{DBLP:conf/kdd/BhagatCR07,38author = {Smriti Bhagat AND Graham Cormode AND Irina Rozenbaum},39title = {Applying Link-Based Classification to Label Blogs},40booktitle = {WebKDD/SNA-KDD},41year = {2007},42pages = {97-117},43ee = {http://dx.doi.org/10.1007/978-3-642-00528-2_6},44crossref = {DBLP:conf/kdd/2007web},45bibsource = {DBLP, http://dblp.uni-trier.de}46}4748@article{DBLP:journals/corr/abs-1101-3291,49author = {Smriti Bhagat AND Graham Cormode AND S. Muthukrishnan},50title = {Node Classification in Social Networks},51journal = {CoRR},52volume = {abs/1101.3291},53year = {2011},54ee = {http://arxiv.org/abs/1101.3291},55bibsource = {DBLP, http://dblp.uni-trier.de}56}5758@proceedings{DBLP:conf/kdd/2007web,59editor = {Haizheng Zhang AND60Myra Spiliopoulou AND61Bamshad Mobasher AND62C. Lee Giles AND63Andrew McCallum AND64Olfa Nasraoui AND65Jaideep Srivastava AND66John Yen},67title = {Advances in Web Mining and Web Usage Analysis, 9th International68Workshop on Knowledge Discovery on the Web, WebKDD 2007,69and 1st International Workshop on Social Networks Analysis,70SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised71Papers},72booktitle = {WebKDD/SNA-KDD},73publisher = {Springer},74series = {Lecture Notes in Computer Science},75volume = {5439},76year = {2009},77isbn = {978-3-642-00527-5},78ee = {http://dx.doi.org/10.1007/978-3-642-00528-2},79bibsource = {DBLP, http://dblp.uni-trier.de}80}8182@Online{bhagat,83author = {Smriti Bhagat AND Graham Cormode AND S. Muthukrishnan},84title = {Node Classification in Social Networks},85year = {2011},86version = {1},87date = {2011-01-17},88eprinttype = {arxiv},89eprintclass = {cs.SI, physics.soc-ph},90eprint = {http://arxiv.org/abs/1101.3291v1}91}9293@article{Vitter,94author = {Vitter, Jeffrey S.},95title = {Random Sampling with a Reservoir},96journal = {ACM Trans. Math. Softw.},97volume = {11},98number = {1},99year = {1985},100issn = {0098-3500},101pages = {37--57},102numpages = {21},103url = {http://doi.acm.org/10.1145/3147.3165},104doi = {10.1145/3147.3165},105acmid = {3165},106publisher = {ACM},107address = {New York, NY, USA},108}109110@MASTERSTHESIS{heck,111AUTHOR = {Heck, Michael},112TITLE = {Unsupervised Acoustic Model Training for Simultaneous Lecture Translation in Incremental and Batch Mode},113SCHOOL = {Karlsruhe Institute of Technology},114TYPE = {Diploma Thesis},115ADDRESS = {Germany},116MONTH = DEC,117YEAR = 2012,118PDF = {http://isl.anthropomatik.kit.edu/cmu-kit/downloads/Diplomarbeit_Heck_Michael.pdf}119}120121@MASTERSTHESIS{Lavesson,122AUTHOR = {Lavesson, Niklas},123TITLE = {Evaluation and analysis of supervised learning algorithms and classifiers},124SCHOOL = {Blekinge Institute of Technology},125TYPE = {Diploma Thesis},126ADDRESS = {Sweden},127MONTH = DEC,128YEAR = 2006,129PDF = {http://www.bth.se/fou/Forskinfo.nsf/Sok/c655a0b1f9f88d16c125714c00355e5d/$file/Lavesson_lic.pdf}130}131132@article{Stone1974,133abstract = {{A generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescri134ption. The examples used to illustrate the application are drawn from the problem areas of univariate estimation, linear regression and analysis of variance.}},135author = {Stone, M.},136citeulike-article-id = {6758792},137citeulike-linkout-0 = {http://dx.doi.org/10.2307/2984809},138citeulike-linkout-1 = {http://www.jstor.org/stable/2984809},139doi = {10.2307/2984809},140issn = {00359246},141journal = {Journal of the Royal Statistical Society. Series B (Methodological)},142keywords = {biomarker, cross\_validation},143number = {2},144pages = {111--147},145posted-at = {2011-08-02 14:22:37},146priority = {2},147publisher = {Blackwell Publishing for the Royal Statistical Society},148title = {{Cross-Validatory Choice and Assessment of Statistical Predictions}},149url = {http://dx.doi.org/10.2307/2984809},150volume = {36},151year = {1974}152}153154155@incollection{porter,156author = {Porter, M. F.},157chapter = {An Algorithm for Suffix Stripping},158title = {Readings in Information Retrieval},159editor = {Sparck Jones, Karen and Willett, Peter},160year = {1997},161isbn = {1-55860-454-5},162pages = {313--316},163numpages = {4},164url = {http://dl.acm.org/citation.cfm?id=275537.275705},165acmid = {275705},166publisher = {Morgan Kaufmann Publishers Inc.},167address = {San Francisco, CA, USA},168}169170@incollection{szummer,171title = {Partially labeled classification with Markov random walks},172author = {Martin Szummer and Jaakkola, Tommi},173booktitle = {Advances in Neural Information Processing Systems 14},174editor = {T.G. Dietterich and S. Becker and Z. Ghahramani},175pages = {945--952},176year = {2001},177url = {http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips14/AA36.pdf},178}179180@incollection{dynamic,181title ={Dynamic Label Propagation in Social Networks},182author ={Du, Juan AND Zhu, Feida AND Lim, Ee-Peng},183booktitle ={Database Systems for Advanced Applications},184editor ={Meng, Weiyi AND Feng, Ling AND Bressan, Stéphane AND Winiwarter, Werner AND Song, Wei},185pages ={194-209},186year ={2013},187isbn ={978-3-642-37449-4},188volume ={7826},189series ={Lecture Notes in Computer Science},190doi ={10.1007/978-3-642-37450-0_14},191url ={http://dx.doi.org/10.1007/978-3-642-37450-0_14},192publisher ={Springer Berlin Heidelberg},193}194195@TECHREPORT{Zhu02learningfrom,196author = {Xiaojin Zhu and Zoubin Ghahramani},197title = {Learning from Labeled and Unlabeled Data with Label Propagation},198institution = {Carnegie Mellon University},199year = {2002}200}201202@TECHREPORT{Seeger01learningwith,203author = {Matthias Seeger},204title = {Learning with Labeled and Unlabeled Data},205institution = {University of Edinburgh},206year = {2001}207}208209@article{Kazienko2012199,210title = "Label-dependent node classification in the network ",211journal = "Neurocomputing ",212volume = "75",213number = "1",214pages = "199 - 209",215year = "2012",216note = "Brazilian Symposium on Neural Networks (SBRN 2010) International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) ",217issn = "0925-2312",218doi = "http://dx.doi.org/10.1016/j.neucom.2011.04.047",219url = "http://www.sciencedirect.com/science/article/pii/S092523121100508X",220author = "Przemyslaw Kazienko and Tomasz Kajdanowicz",221keywords = "Classification",222keywords = "Node classification",223keywords = "Label-dependent classification",224keywords = "Label-dependent features",225keywords = "Collective classification",226keywords = "Classification in networks",227keywords = "\{LDBootstrapping\}",228keywords = "\{LDGibbs\}",229keywords = "Bootstrapping",230keywords = "Gibbs sampling "231}232233@MISC{Joachims98textcategorization,234author = {Thorsten Joachims},235title = {Text Categorization with Support Vector Machines: Learning with Many Relevant Features},236year = {1998}237}238239@INPROCEEDINGS{Nigam99textclassification,240author = {Kamal Nigam and Andrew Kachites Mccallum and Sebastian Thrun and Tom Mitchell},241title = {Text Classification from Labeled and Unlabeled Documents using EM},242booktitle = {Machine Learning},243year = {1999},244pages = {103--134}245}246247@article{Jiang2010302,248title = "Text classification using graph mining-based feature extraction ",249journal = "Knowledge-Based Systems ",250volume = "23",251number = "4",252pages = "302 - 308",253year = "2010",254note = "Artificial Intelligence 2009 AI-2009 The 29th \{SGAI\} International Conference on Artificial Intelligence ",255issn = "0950-7051",256doi = "http://dx.doi.org/10.1016/j.knosys.2009.11.010",257url = "http://www.sciencedirect.com/science/article/pii/S095070510900152X",258author = "Chuntao Jiang and Frans Coenen and Robert Sanderson and Michele Zito",259keywords = "Text classification",260keywords = "Graph representation",261keywords = "Graph mining",262keywords = "Weighted graph mining",263keywords = "Feature extraction "264}265266@inproceedings{Ko:2012:STW:2348283.2348453,267author = {Ko, Youngjoong},268title = {A Study of Term Weighting Schemes Using Class Information for Text Classification},269booktitle = {Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval},270series = {SIGIR '12},271year = {2012},272isbn = {978-1-4503-1472-5},273location = {Portland, Oregon, USA},274pages = {1029--1030},275numpages = {2},276url = {http://doi.acm.org/10.1145/2348283.2348453},277doi = {10.1145/2348283.2348453},278acmid = {2348453},279publisher = {ACM},280address = {New York, NY, USA},281keywords = {idf, term weighting, text classification},282}283284285