@electronic{www.cl.cam.ac.uk,
   title       = {Simone Teufel's Thesis work: Argumentative Zoning}, 
   url         = {http://www.cl.cam.ac.uk/~sht25/az.html},
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@electronic{mloss.org,
   title       = {mloss | All entries}, 
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   keywords    = {learning machine ml open software source},
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@electronic{googleresearch.blogspot.de,
   title       = {Learning from Big Data: 40 Million Entities in Context}, 
   url         = {http://googleresearch.blogspot.de/2013/03/learning-from-big-data-40-million.html},
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@electronic{www.mlsurveys.com,
   title       = {Machine Learning Surveys}, 
   url         = {http://www.mlsurveys.com/},
   biburl      = {https://puma.uni-kassel.de/url/cd15ffb5bf12db3f7cb19b80feeba53f/stephandoerfel},
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@electronic{www.cp.jku.at,
   title       = {LUC 2012: International Workshop on Learning from User-generated Content}, 
   url         = {http://www.cp.jku.at/conferences/luc2012/},
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@electronic{mahout.apache.org,
   title       = {Apache Mahout: Scalable machine learning and data mining}, 
   url         = {http://mahout.apache.org/},
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@electronic{docstore.mik.ua,
   title       = {Learning Perl, 3rd Edition}, 
   url         = {http://docstore.mik.ua/orelly/perl4/lperl/index.htm},
   biburl      = {https://puma.uni-kassel.de/url/d136662f65eab3b34681bf78a209d232/stephandoerfel},
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@electronic{archive.ics.uci.edu,
   title       = {UCI Machine Learning Repository: Data Sets}, 
   url         = {http://archive.ics.uci.edu/ml/datasets.html},
   biburl      = {https://puma.uni-kassel.de/url/6645d2bc3ed4e43027be38a718f57786/stephandoerfel},
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@electronic{tunedit.org,
   title       = {TunedIT - Data mining & machine learning data sets, algorithms, challenges}, 
   url         = {http://tunedit.org/},
   biburl      = {https://puma.uni-kassel.de/url/94fa145e5cfdfa41c41ca7d954f43d23/hotho},
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   description = {Platform for sharing and evaluation of intelligent algorithms. Data mining data, experiments, datasets, performance analysis, data repository, challenges. Research and applications, prediction. Data mining and machine learning},
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@electronic{hunch.net,
   title       = {Research Directions for Machine Learning and Algorithms « Machine Learning (Theory)}, 
   url         = {http://hunch.net/?p=1822},
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@electronic{myweb.nutn.edu.tw,
   title       = {Mining Categorical Concept Hierarchies in Large Databases (pdf)}, 
   url         = {http://myweb.nutn.edu.tw/~bcchien/Papers/C_SCI2003.pdf},
   biburl      = {https://puma.uni-kassel.de/url/3521e3184f22cd543b681205ea85c5df/benz},
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@electronic{en.wikipedia.org,
   title       = {Structured SVM - Wikipedia, the free encyclopedia}, 
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@electronic{www.icml-2011.org,
   title       = {ICML 2011, The 28th International Conference on Machine Learning - Bellevue, Washington}, 
   url         = {http://www.icml-2011.org/},
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@electronic{elib.uni-stuttgart.de,
   title       = {OPUS - Theoretical and Practical Perspectives on Ontology Learning from Folksonomies - Keller, Christine}, 
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@electronic{www-kd.iai.uni-bonn.de,
   title       = {Knowledge Discovery and Machine Learning Bonn (www.kdml-bonn.de)}, 
   url         = {http://www-kd.iai.uni-bonn.de/index.php?page=software},
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   description = {The Knowledge Discovery Machine Learning (KDML) group focuses on the neighboring subfields of computer science known as knowledge discovery in databases (KDD, sometimes referred to simply as data mining) and machine learning (ML). For us, these fields include on the one hand the automated analysis of large data sets using intelligent algorithms that are capable of extracting from the collected data hidden knowledge in order to produce models that can be used for prediction and decision making. On the other hand, they also include algorithms and systems that are capable of learning from experience and adapting to their environment or their users.},
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@electronic{ontology.csse.uwa.edu.au,
   title       = {ontology}, 
   url         = {http://ontology.csse.uwa.edu.au/},
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@electronic{research.microsoft.com,
   title       = {LETOR: A Benchmark Collection for Research on Learning to Rank for Information Retrieval}, 
   url         = {http://research.microsoft.com/en-us/um/beijing/projects/letor/paper.aspx},
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@electronic{learningtorankchallenge.yahoo.com,
   title       = {Yahoo! Learning to Rank Challenge -}, 
   url         = {http://learningtorankchallenge.yahoo.com/},
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@electronic{ontogenesis.knowledgeblog.org,
   title       = {Ontology Learning | Ontogenesis}, 
   url         = {http://ontogenesis.knowledgeblog.org/2010/01/22/ontology-learning/},
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@electronic{www.ecmlpkdd2008.org,
   title       = {HLIE Workshop | ECML PKDD 2008}, 
   url         = {http://www.ecmlpkdd2008.org/workshop-papers-hlie},
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