literatur.bib 10 KB

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  1. % This file was created with JabRef 2.3.1.
  2. % Encoding: Cp1252
  3. @Online{zappella,
  4. author = {Giovanni Zappella},
  5. title = {A Scalable Multiclass Algorithm for Node Classification},
  6. version = {1},
  7. date = {2011-12-19},
  8. year = {2011},
  9. eprinttype = {arxiv},
  10. eprintclass = {cs.LG, cs.GT},
  11. eprint = {http://arxiv.org/abs/1112.4344v1}
  12. }
  13. @inproceedings{aggarwal2011,
  14. author = {Charu C. Aggarwal AND Nan Li},
  15. title = {On Node Classification in Dynamic Content-based Networks},
  16. booktitle = {SDM},
  17. year = {2011},
  18. pages = {355-366},
  19. ee = {http://siam.omnibooksonline.com/2011datamining/data/papers/033.pdf\#page=1},
  20. bibsource = {DBLP, http://dblp.uni-trier.de}
  21. }
  22. @book{DBLP:series/ads/2010-40,
  23. editor = {Charu C. Aggarwal AND Haixun Wang},
  24. title = {Managing and Mining Graph Data},
  25. booktitle = {Managing and Mining Graph Data},
  26. publisher = {Springer},
  27. series = {Advances in Database Systems},
  28. volume = {40},
  29. year = {2010},
  30. isbn = {978-1-4419-6044-3},
  31. ee = {http://dx.doi.org/10.1007/978-1-4419-6045-0},
  32. bibsource = {DBLP, http://dblp.uni-trier.de}
  33. }
  34. @inproceedings{DBLP:conf/kdd/BhagatCR07,
  35. author = {Smriti Bhagat AND Graham Cormode AND Irina Rozenbaum},
  36. title = {Applying Link-Based Classification to Label Blogs},
  37. booktitle = {WebKDD/SNA-KDD},
  38. year = {2007},
  39. pages = {97-117},
  40. ee = {http://dx.doi.org/10.1007/978-3-642-00528-2_6},
  41. crossref = {DBLP:conf/kdd/2007web},
  42. bibsource = {DBLP, http://dblp.uni-trier.de}
  43. }
  44. @article{DBLP:journals/corr/abs-1101-3291,
  45. author = {Smriti Bhagat AND Graham Cormode AND S. Muthukrishnan},
  46. title = {Node Classification in Social Networks},
  47. journal = {CoRR},
  48. volume = {abs/1101.3291},
  49. year = {2011},
  50. ee = {http://arxiv.org/abs/1101.3291},
  51. bibsource = {DBLP, http://dblp.uni-trier.de}
  52. }
  53. @proceedings{DBLP:conf/kdd/2007web,
  54. editor = {Haizheng Zhang AND
  55. Myra Spiliopoulou AND
  56. Bamshad Mobasher AND
  57. C. Lee Giles AND
  58. Andrew McCallum AND
  59. Olfa Nasraoui AND
  60. Jaideep Srivastava AND
  61. John Yen},
  62. title = {Advances in Web Mining and Web Usage Analysis, 9th International
  63. Workshop on Knowledge Discovery on the Web, WebKDD 2007,
  64. and 1st International Workshop on Social Networks Analysis,
  65. SNA-KDD 2007, San Jose, CA, USA, August 12-15, 2007. Revised
  66. Papers},
  67. booktitle = {WebKDD/SNA-KDD},
  68. publisher = {Springer},
  69. series = {Lecture Notes in Computer Science},
  70. volume = {5439},
  71. year = {2009},
  72. isbn = {978-3-642-00527-5},
  73. ee = {http://dx.doi.org/10.1007/978-3-642-00528-2},
  74. bibsource = {DBLP, http://dblp.uni-trier.de}
  75. }
  76. @Online{bhagat,
  77. author = {Smriti Bhagat AND Graham Cormode AND S. Muthukrishnan},
  78. title = {Node Classification in Social Networks},
  79. year = {2011},
  80. version = {1},
  81. date = {2011-01-17},
  82. eprinttype = {arxiv},
  83. eprintclass = {cs.SI, physics.soc-ph},
  84. eprint = {http://arxiv.org/abs/1101.3291v1}
  85. }
  86. @article{Vitter,
  87. author = {Vitter, Jeffrey S.},
  88. title = {Random Sampling with a Reservoir},
  89. journal = {ACM Trans. Math. Softw.},
  90. volume = {11},
  91. number = {1},
  92. year = {1985},
  93. issn = {0098-3500},
  94. pages = {37--57},
  95. numpages = {21},
  96. url = {http://doi.acm.org/10.1145/3147.3165},
  97. doi = {10.1145/3147.3165},
  98. acmid = {3165},
  99. publisher = {ACM},
  100. address = {New York, NY, USA},
  101. }
  102. @MASTERSTHESIS{heck,
  103. AUTHOR = {Heck, Michael},
  104. TITLE = {Unsupervised Acoustic Model Training for Simultaneous Lecture Translation in Incremental and Batch Mode},
  105. SCHOOL = {Karlsruhe Institute of Technology},
  106. TYPE = {Diploma Thesis},
  107. ADDRESS = {Germany},
  108. MONTH = DEC,
  109. YEAR = 2012,
  110. PDF = {http://isl.anthropomatik.kit.edu/cmu-kit/downloads/Diplomarbeit_Heck_Michael.pdf}
  111. }
  112. @MASTERSTHESIS{Lavesson,
  113. AUTHOR = {Lavesson, Niklas},
  114. TITLE = {Evaluation and analysis of supervised learning algorithms and classifiers},
  115. SCHOOL = {Blekinge Institute of Technology},
  116. TYPE = {Diploma Thesis},
  117. ADDRESS = {Sweden},
  118. MONTH = DEC,
  119. YEAR = 2006,
  120. PDF = {http://www.bth.se/fou/Forskinfo.nsf/Sok/c655a0b1f9f88d16c125714c00355e5d/$file/Lavesson_lic.pdf}
  121. }
  122. @article{Stone1974,
  123. abstract = {{A generalized form of the cross-validation criterion is applied to the choice and assessment of prediction using the data-analytic concept of a prescri
  124. ption. The examples used to illustrate the application are drawn from the problem areas of univariate estimation, linear regression and analysis of variance.}},
  125. author = {Stone, M.},
  126. citeulike-article-id = {6758792},
  127. citeulike-linkout-0 = {http://dx.doi.org/10.2307/2984809},
  128. citeulike-linkout-1 = {http://www.jstor.org/stable/2984809},
  129. doi = {10.2307/2984809},
  130. issn = {00359246},
  131. journal = {Journal of the Royal Statistical Society. Series B (Methodological)},
  132. keywords = {biomarker, cross\_validation},
  133. number = {2},
  134. pages = {111--147},
  135. posted-at = {2011-08-02 14:22:37},
  136. priority = {2},
  137. publisher = {Blackwell Publishing for the Royal Statistical Society},
  138. title = {{Cross-Validatory Choice and Assessment of Statistical Predictions}},
  139. url = {http://dx.doi.org/10.2307/2984809},
  140. volume = {36},
  141. year = {1974}
  142. }
  143. @incollection{porter,
  144. author = {Porter, M. F.},
  145. chapter = {An Algorithm for Suffix Stripping},
  146. title = {Readings in Information Retrieval},
  147. editor = {Sparck Jones, Karen and Willett, Peter},
  148. year = {1997},
  149. isbn = {1-55860-454-5},
  150. pages = {313--316},
  151. numpages = {4},
  152. url = {http://dl.acm.org/citation.cfm?id=275537.275705},
  153. acmid = {275705},
  154. publisher = {Morgan Kaufmann Publishers Inc.},
  155. address = {San Francisco, CA, USA},
  156. }
  157. @incollection{szummer,
  158. title = {Partially labeled classification with Markov random walks},
  159. author = {Martin Szummer and Jaakkola, Tommi},
  160. booktitle = {Advances in Neural Information Processing Systems 14},
  161. editor = {T.G. Dietterich and S. Becker and Z. Ghahramani},
  162. pages = {945--952},
  163. year = {2001},
  164. url = {http://media.nips.cc/nipsbooks/nipspapers/paper_files/nips14/AA36.pdf},
  165. }
  166. @incollection{dynamic,
  167. title ={Dynamic Label Propagation in Social Networks},
  168. author ={Du, Juan AND Zhu, Feida AND Lim, Ee-Peng},
  169. booktitle ={Database Systems for Advanced Applications},
  170. editor ={Meng, Weiyi AND Feng, Ling AND Bressan, Stéphane AND Winiwarter, Werner AND Song, Wei},
  171. pages ={194-209},
  172. year ={2013},
  173. isbn ={978-3-642-37449-4},
  174. volume ={7826},
  175. series ={Lecture Notes in Computer Science},
  176. doi ={10.1007/978-3-642-37450-0_14},
  177. url ={http://dx.doi.org/10.1007/978-3-642-37450-0_14},
  178. publisher ={Springer Berlin Heidelberg},
  179. }
  180. @TECHREPORT{Zhu02learningfrom,
  181. author = {Xiaojin Zhu and Zoubin Ghahramani},
  182. title = {Learning from Labeled and Unlabeled Data with Label Propagation},
  183. institution = {Carnegie Mellon University},
  184. year = {2002}
  185. }
  186. @TECHREPORT{Seeger01learningwith,
  187. author = {Matthias Seeger},
  188. title = {Learning with Labeled and Unlabeled Data},
  189. institution = {University of Edinburgh},
  190. year = {2001}
  191. }
  192. @article{Kazienko2012199,
  193. title = "Label-dependent node classification in the network ",
  194. journal = "Neurocomputing ",
  195. volume = "75",
  196. number = "1",
  197. pages = "199 - 209",
  198. year = "2012",
  199. note = "Brazilian Symposium on Neural Networks (SBRN 2010) International Conference on Hybrid Artificial Intelligence Systems (HAIS 2010) ",
  200. issn = "0925-2312",
  201. doi = "http://dx.doi.org/10.1016/j.neucom.2011.04.047",
  202. url = "http://www.sciencedirect.com/science/article/pii/S092523121100508X",
  203. author = "Przemyslaw Kazienko and Tomasz Kajdanowicz",
  204. keywords = "Classification",
  205. keywords = "Node classification",
  206. keywords = "Label-dependent classification",
  207. keywords = "Label-dependent features",
  208. keywords = "Collective classification",
  209. keywords = "Classification in networks",
  210. keywords = "\{LDBootstrapping\}",
  211. keywords = "\{LDGibbs\}",
  212. keywords = "Bootstrapping",
  213. keywords = "Gibbs sampling "
  214. }
  215. @MISC{Joachims98textcategorization,
  216. author = {Thorsten Joachims},
  217. title = {Text Categorization with Support Vector Machines: Learning with Many Relevant Features},
  218. year = {1998}
  219. }
  220. @INPROCEEDINGS{Nigam99textclassification,
  221. author = {Kamal Nigam and Andrew Kachites Mccallum and Sebastian Thrun and Tom Mitchell},
  222. title = {Text Classification from Labeled and Unlabeled Documents using EM},
  223. booktitle = {Machine Learning},
  224. year = {1999},
  225. pages = {103--134}
  226. }
  227. @article{Jiang2010302,
  228. title = "Text classification using graph mining-based feature extraction ",
  229. journal = "Knowledge-Based Systems ",
  230. volume = "23",
  231. number = "4",
  232. pages = "302 - 308",
  233. year = "2010",
  234. note = "Artificial Intelligence 2009 AI-2009 The 29th \{SGAI\} International Conference on Artificial Intelligence ",
  235. issn = "0950-7051",
  236. doi = "http://dx.doi.org/10.1016/j.knosys.2009.11.010",
  237. url = "http://www.sciencedirect.com/science/article/pii/S095070510900152X",
  238. author = "Chuntao Jiang and Frans Coenen and Robert Sanderson and Michele Zito",
  239. keywords = "Text classification",
  240. keywords = "Graph representation",
  241. keywords = "Graph mining",
  242. keywords = "Weighted graph mining",
  243. keywords = "Feature extraction "
  244. }
  245. @inproceedings{Ko:2012:STW:2348283.2348453,
  246. author = {Ko, Youngjoong},
  247. title = {A Study of Term Weighting Schemes Using Class Information for Text Classification},
  248. booktitle = {Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval},
  249. series = {SIGIR '12},
  250. year = {2012},
  251. isbn = {978-1-4503-1472-5},
  252. location = {Portland, Oregon, USA},
  253. pages = {1029--1030},
  254. numpages = {2},
  255. url = {http://doi.acm.org/10.1145/2348283.2348453},
  256. doi = {10.1145/2348283.2348453},
  257. acmid = {2348453},
  258. publisher = {ACM},
  259. address = {New York, NY, USA},
  260. keywords = {idf, term weighting, text classification},
  261. }