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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Seipel, D., Neubeck, P., Köhler, S. & Atzmueller, M. Mining Complex Event Patterns in Computer Networks 2012 Proc. ECML/PKDD Workshop on New Frontiers in Mining Complex Patterns  inproceedings  
    BibTeX:
    @inproceedings{SNKA:12,
      author = {Seipel, Dietmar and Neubeck, Philipp and Köhler, Stefan and Atzmueller, Martin},
      title = {Mining Complex Event Patterns in Computer Networks},
      booktitle = {Proc. ECML/PKDD Workshop on New Frontiers in Mining Complex Patterns},
      year = {2012}
    }
    
    Modeling and Mining Ubiquitous Social Media 2012
    Vol. 7472 
    book URL 
    BibTeX:
    @book{ACHH:12,,
      title = {Modeling and Mining Ubiquitous Social Media},
      publisher = {Springer Verlag},
      year = {2012},
      volume = {7472},
      url = {http://www.springer.com/computer/ai/book/978-3-642-33683-6}
    }
    
    Atzmueller, M. Mining Social Media: Key Players, Sentiments, and Communities 2012 WIREs: Data Mining and Knowledge Discovery
    Vol. In Press 
    article  
    BibTeX:
    @article{Atzmueller:12c,
      author = {Atzmueller, Martin},
      title = {Mining Social Media: Key Players, Sentiments, and Communities},
      journal = {WIREs: Data Mining and Knowledge Discovery},
      year = {2012},
      volume = {In Press}
    }
    
    Atzmueller, M. & Lemmerich, F. VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics 2012 Proc. ECML/PKDD 2012: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. accepted  inproceedings URL 
    BibTeX:
    @inproceedings{AL:12a,
      author = {Atzmueller, Martin and Lemmerich, Florian},
      title = {VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics},
      booktitle = {Proc. ECML/PKDD 2012: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. accepted},
      publisher = {Springer Verlag},
      year = {2012},
      url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-vikamine2-ecml-pkdd-2012.pdf}
    }
    
    Proceedings MSM 2012: Workshop on Modeling Social Media -- Collective Intelligence in Social Media 2012   proceedings  
    BibTeX:
    @proceedings{CAH:12,,
      title = {Proceedings MSM 2012: Workshop on Modeling Social Media -- Collective Intelligence in Social Media},
      publisher = {ACM Press},
      year = {2012}
    }
    
    Lemmerich, F. & Atzmueller, M. Describing Locations using Tags and Images: Explorative Pattern Mining in Social Media 2012
    Vol. 7472Modeling and Mining Ubiquitous Social Media 
    incollection URL 
    BibTeX:
    @incollection{LA:12,
      author = {Lemmerich, Florian and Atzmueller, Martin},
      title = {Describing Locations using Tags and Images: Explorative Pattern Mining in Social Media},
      booktitle = {Modeling and Mining Ubiquitous Social Media},
      publisher = {Springer Verlag},
      year = {2012},
      volume = {7472},
      url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/lemmerich-explorative-pattern-mining-socia-media-lnai-2012.pdf}
    }
    
    Atzmueller, M. Onto Collective Intelligence in Social Media: Exemplary Applications and Perspectives 2012 Proc. 3rd International Workshop on Modeling Social Media (MSM 2012), Hypertext 2012  inproceedings  
    BibTeX:
    @inproceedings{Atzmueller:12b,
      author = {Atzmueller, Martin},
      title = {Onto Collective Intelligence in Social Media: Exemplary Applications and Perspectives},
      booktitle = {Proc. 3rd International Workshop on Modeling Social Media (MSM 2012), Hypertext 2012},
      publisher = {ACM Press},
      year = {2012}
    }
    
    Atzmueller, M., Beer, S. & Puppe, F. Data Mining, Validation and Collaborative Knowledge Capture 2012 Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources, pp. 149-167  incollection  
    BibTeX:
    @incollection{ABP:11,
      author = {Atzmueller, Martin and Beer, Stephanie and Puppe, Frank},
      title = {Data Mining, Validation and Collaborative Knowledge Capture},
      booktitle = {Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources},
      publisher = {IGI Global},
      year = {2012},
      pages = {149-167}
    }
    
    Fuchs, E., Gruber, T., Pree, H. & Sick, B. Temporal data mining using shape space representations of time series 2010 Neurocomputing
    Vol. 74(1–3), pp. 379 - 393 
    article DOI URL 
    Abstract: Subspace representations that preserve essential information of high-dimensional data may be advantageous for many reasons such as improved interpretability, overfitting avoidance, acceleration of machine learning techniques. In this article, we describe a new subspace representation of time series which we call polynomial shape space representation. This representation consists of optimal (in a least-squares sense) estimators of trend aspects of a time series such as average, slope, curve, change of curve, etc. The shape space representation of time series allows for a definition of a novel similarity measure for time series which we call shape space distance measure. Depending on the application, time series segmentation techniques can be applied to obtain a piecewise shape space representation of the time series in subsequent segments. In this article, we investigate the properties of the polynomial shape space representation and the shape space distance measure by means of some benchmark time series and discuss possible application scenarios in the field of temporal data mining.
    BibTeX:
    @article{Fuchs2010379,
      author = {Fuchs, Erich and Gruber, Thiemo and Pree, Helmuth and Sick, Bernhard},
      title = {Temporal data mining using shape space representations of time series},
      journal = {Neurocomputing},
      year = {2010},
      volume = {74},
      number = {1–3},
      pages = {379 - 393},
      note = {Artificial Brains},
      url = {http://www.sciencedirect.com/science/article/pii/S0925231210002237},
      doi = {http://dx.doi.org/10.1016/j.neucom.2010.03.022}
    }
    
    Atzmueller, M. & Lemmerich, F. Exploratory Pattern Mining on Social Media using Geo-References and Social Tagging Information 2013 International Journal of Web Science (Special Issue on Social Web Search and Mining)
    Vol. 2(1/2) 
    article  
    BibTeX:
    @article{atzmueller2013exploratory,
      author = {Atzmueller, Martin and Lemmerich, Florian},
      title = {Exploratory Pattern Mining on Social Media using Geo-References and Social Tagging Information},
      journal = {International Journal of Web Science (Special Issue on Social Web Search and Mining)},
      year = {2013},
      volume = {2},
      number = {1/2}
    }
    
    Mitzlaff, F., Atzmueller, M., Stumme, G. & Hotho, A. On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission) 2011 Proc. LWA 2013 (KDML Special Track)  inproceedings  
    BibTeX:
    @inproceedings{mitzlaff2011semantics,
      author = {Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas},
      title = {On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)},
      booktitle = {Proc. LWA 2013 (KDML Special Track)},
      publisher = {University of Bamberg},
      year = {2011}
    }
    
    Kibanov, M., Atzmueller, M., Scholz, C. & Stumme, G. On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity 2013 Proc. IEEE CPSCom 2013  inproceedings  
    BibTeX:
    @inproceedings{kibanov2013evolution,
      author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd},
      title = {On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity},
      booktitle = {Proc. IEEE CPSCom 2013},
      publisher = {IEEE Computer Society},
      year = {2013}
    }
    
    Scholz, C., Atzmueller, M., Kibanov, M. & Stumme, G. How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks 2013 Proc. ASONAM 2013  inproceedings  
    BibTeX:
    @inproceedings{scholz2013people,
      author = {Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd},
      title = {How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks},
      booktitle = {Proc. ASONAM 2013},
      publisher = {ACM Press},
      year = {2013}
    }
    
    Seipel, D., Köhler, S., Neubeck, P. & Atzmueller, M. Mining Complex Event Patterns in Computer Networks 2013 Postproceedings of the 1st Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2012  incollection  
    BibTeX:
    @incollection{seipel2013mining,
      author = {Seipel, Dietmar and Köhler, Stefan and Neubeck, Philipp and Atzmueller, Martin},
      title = {Mining Complex Event Patterns in Computer Networks},
      booktitle = {Postproceedings of the 1st Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2012},
      publisher = {Springer Verlag},
      year = {2013}
    }
    
    Mitzlaff, F., Atzmueller, M., Benz, D., Hotho, A. & Stumme, G. User-Relatedness and Community Structure in Social Interaction Networks 2013 CoRR/abs
    Vol. 1309.3888 
    article  
    BibTeX:
    @article{mitzlaff2013userrelatedness,
      author = {Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd},
      title = {User-Relatedness and Community Structure in Social Interaction Networks},
      journal = {CoRR/abs},
      year = {2013},
      volume = {1309.3888}
    }
    
    Kibanov, M., Atzmueller, M., Scholz, C. & Stumme, G. Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission) 2013 Proc. LWA 2013 (KDML Special Track)  inproceedings  
    BibTeX:
    @inproceedings{kibanov2013evolution,
      author = {Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd},
      title = {Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission)},
      booktitle = {Proc. LWA 2013 (KDML Special Track)},
      publisher = {University of Bamberg},
      year = {2013}
    }
    
    Atzmueller, M. & Mueller, J. Subgroup Analytics and Interactive Assessment on Ubiquitous Data 2013 Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2013)  inproceedings  
    BibTeX:
    @inproceedings{atzmueller2013subgroup,
      author = {Atzmueller, Martin and Mueller, Juergen},
      title = {Subgroup Analytics and Interactive Assessment on Ubiquitous Data},
      booktitle = {Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2013)},
      year = {2013}
    }
    
    Atzmueller, M., Kibanov, M., Scholz, C. & Stumme, G. Conferator - a Social System for Conference and Contact Management 2013 Poster at INFORMATIK 2013  misc  
    BibTeX:
    @misc{atzmueller2013conferator,
      author = {Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd},
      title = {Conferator - a Social System for Conference and Contact Management},
      publisher = {INFORMATIK 2013},
      year = {2013}
    }
    
    Proceedings of the 2013 International Smart University Workshop (SmartU 2013) 2013   book  
    BibTeX:
    @book{rothberghofer2013proceedings,,
      title = {Proceedings of the 2013 International Smart University Workshop (SmartU 2013)},
      publisher = {CONTEXT 2013},
      year = {2013}
    }
    
    Poelmans, J., Ignatov, D., Viaene, S., Dedene, G. & Kuznetsov, S. Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research 2012
    Vol. 7377Advances in Data Mining. Applications and Theoretical Aspects, pp. 273-287 
    incollection DOI URL 
    Abstract: Formal Concept Analysis (FCA) is an unsupervised clustering technique and many scientific papers are devoted to applying FCA in Information Retrieval (IR) research. We collected 103 papers published between 2003-2009 which mention FCA and information retrieval in the abstract, title or keywords. Using a prototype of our FCA-based toolset CORDIET, we converted the pdf-files containing the papers to plain text, indexed them with Lucene using a thesaurus containing terms related to FCA research and then created the concept lattice shown in this paper. We visualized, analyzed and explored the literature with concept lattices and discovered multiple interesting research streams in IR of which we give an extensive overview. The core contributions of this paper are the innovative application of FCA to the text mining of scientific papers and the survey of the FCA-based IR research.
    BibTeX:
    @incollection{noKey,
      author = {Poelmans, Jonas and Ignatov, DmitryI. and Viaene, Stijn and Dedene, Guido and Kuznetsov, SergeiO.},
      title = {Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research},
      booktitle = {Advances in Data Mining. Applications and Theoretical Aspects},
      publisher = {Springer Berlin Heidelberg},
      year = {2012},
      volume = {7377},
      pages = {273-287},
      url = {http://dx.doi.org/10.1007/978-3-642-31488-9_22},
      doi = {http://dx.doi.org/10.1007/978-3-642-31488-9_22}
    }
    

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