@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}, keywords = {2013, conferator, data, iteg, itegpub, l3s, mining, myown, social, ubiquitous, venus} }

%0 = misc %A = Atzmueller, Martin and Kibanov, Mark and Scholz, Christoph and Stumme, Gerd %B = } %C = %D = 2013 %I = INFORMATIK 2013 %T = Conferator - a Social System for Conference and Contact Management} %U =

@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}, keywords = {2013, analysis, exploratory, iteg, itegpub, l3s, media, mining, pattern, social, venus} }

%0 = article %A = Atzmueller, Martin and Lemmerich, Florian %D = 2013 %T = Exploratory Pattern Mining on Social Media using Geo-References and Social Tagging Information

@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)}, address = {Prague, Czech Republic}, year = {2013}, keywords = {2013, assessment, data, discovery, everyaware, iteg, itegpub, l3s, mining, subgroup, ubiquitous, venus} }

%0 = inproceedings %A = Atzmueller, Martin and Mueller, Juergen %B = Proceedings of the International Workshop on Mining Ubiquitous and Social Environments (MUSE2013) %C = Prague, Czech Republic %D = 2013 %T = Subgroup Analytics and Interactive Assessment on Ubiquitous Data

@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}, address = {Bamberg, Germany}, year = {2013}, keywords = {2013, conferator, data, iteg, itegpub, l3s, mining, myown, social, ubiquitous, venus} }

%0 = inproceedings %A = Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd %B = Proc. LWA 2013 (KDML Special Track) %C = Bamberg, Germany %D = 2013 %I = University of Bamberg %T = Evolution of Contacts and Communities in Networks of Face-to-Face Proximity (Extended Abstract, Resubmission)

@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}, address = {Boston, MA, USA}, year = {2013}, keywords = {2013, community, conferator, face-to-face, iteg, itegpub, l3s, mining, myown, sna, social, venus} }

%0 = inproceedings %A = Kibanov, Mark and Atzmueller, Martin and Scholz, Christoph and Stumme, Gerd %B = Proc. IEEE CPSCom 2013 %C = Boston, MA, USA %D = 2013 %I = IEEE Computer Society %T = On the Evolution of Contacts and Communities in Networks of Face-to-Face Proximity

@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}, keywords = {2013, data, iteg, itegpub, l3s, mining, myown, social, ubiquitous, venus, web} }

%0 = article %A = Mitzlaff, Folke and Atzmueller, Martin and Benz, Dominik and Hotho, Andreas and Stumme, Gerd %D = 2013 %T = User-Relatedness and Community Structure in Social Interaction Networks

@book{rothberghofer2013proceedings,, title = {Proceedings of the 2013 International Smart University Workshop (SmartU 2013)}, editor = {Roth-Berghofer, Thomas and Oussena, Samia and Atzmueller, Martin}, publisher = {CONTEXT 2013}, address = {Annecy, France}, year = {2013}, keywords = {2013, iteg, itegpub, l3s, mining, smart, social, ubiquitous, university, workshop} }

%0 = book %C = Annecy, France %D = 2013 %I = CONTEXT 2013 %T = Proceedings of the 2013 International Smart University Workshop (SmartU 2013)

@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}, address = {New York, NY, USA}, year = {2013}, keywords = {2013, analysis, face-to-face, iteg, itegpub, l3s, linkprediction, mining, myown, networks, sna} }

%0 = inproceedings %A = Scholz, Christoph and Atzmueller, Martin and Kibanov, Mark and Stumme, Gerd %B = Proc. ASONAM 2013 %C = New York, NY, USA %D = 2013 %I = ACM Press %T = How Do People Link? Analysis of Contact Structures in Human Face-to-Face Proximity Networks

@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}, series = {LNAI}, publisher = {Springer Verlag}, address = {Heidelberg, Germany}, year = {2013}, keywords = {2013, iteg, itegpub, l3s, mining, pattern, temporal, venus} }

%0 = incollection %A = Seipel, Dietmar and Köhler, Stefan and Neubeck, Philipp and Atzmueller, Martin %B = Postproceedings of the 1st Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2012 %C = Heidelberg, Germany %D = 2013 %I = Springer Verlag %T = Mining Complex Event Patterns in Computer Networks

@incollection{ABP:11, author = {Atzmueller, Martin and Beer, Stephanie and Puppe, Frank}, title = {Data Mining, Validation and Collaborative Knowledge Capture}, editor = {Brüggemann, Stefan and d’Amato, Claudia}, booktitle = {Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources}, publisher = {IGI Global}, year = {2012}, pages = {149-167}, keywords = {2012, data, mining, nlp, textmarker} }

%0 = incollection %A = Atzmueller, Martin and Beer, Stephanie and Puppe, Frank %B = Collaboration and the Semantic Web: Social Networks, Knowledge Networks, and Knowledge Resources %D = 2012 %I = IGI Global %T = Data Mining, Validation and Collaborative Knowledge Capture

@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}, keywords = {2012, analysis, community, data, detection, itegpub, mining, network, opinion, sentiment, social, venus, vikamine} }

%0 = article %A = Atzmueller, Martin %D = 2012 %T = Mining Social Media: Key Players, Sentiments, and Communities

@book{ACHH:12,, title = {Modeling and Mining Ubiquitous Social Media}, editor = {Atzmueller, Martin and Chin, Alvin and Helic, Denis and Hotho, Andreas}, series = {Lecture Notes in Computer Science}, publisher = {Springer Verlag}, address = {Heidelberg, Germany}, year = {2012}, volume = {7472}, url = {http://www.springer.com/computer/ai/book/978-3-642-33683-6}, keywords = {2012, everyaware, itegpub, media, mining, modeling, social, ubiquitous} }

%0 = book %C = Heidelberg, Germany %D = 2012 %I = Springer Verlag %T = Modeling and Mining Ubiquitous Social Media %U = http://www.springer.com/computer/ai/book/978-3-642-33683-6

@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}, address = {New York, NY, USA}, year = {2012}, keywords = {2012, data, exemplary, itegpub, mining, ubiquitous, venus} }

%0 = inproceedings %A = Atzmueller, Martin %B = Proc. 3rd International Workshop on Modeling Social Media (MSM 2012), Hypertext 2012 %C = New York, NY, USA %D = 2012 %I = ACM Press %T = Onto Collective Intelligence in Social Media: Exemplary Applications and Perspectives

@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}, address = {Heidelberg, Germany}, year = {2012}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-vikamine2-ecml-pkdd-2012.pdf}, keywords = {2012, data, discovery, itegpub, mining, pattern, subgroup, vikamine} }

%0 = inproceedings %A = Atzmueller, Martin and Lemmerich, Florian %B = Proc. ECML/PKDD 2012: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. accepted %C = Heidelberg, Germany %D = 2012 %I = Springer Verlag %T = VIKAMINE - Open-Source Subgroup Discovery, Pattern Mining, and Analytics %U = http://www.kde.cs.uni-kassel.de/atzmueller/paper/atzmueller-vikamine2-ecml-pkdd-2012.pdf

@proceedings{CAH:12,, title = {Proceedings MSM 2012: Workshop on Modeling Social Media -- Collective Intelligence in Social Media}, editor = {Chin, Alvin and Atzmueller, Martin and Helic, Denis}, publisher = {ACM Press}, address = {New York, NY, USA}, year = {2012}, keywords = {2012, collective, data, intelligence, itegpub, media, mining, modeling, msm, proceedings, social, ubiquitous, venus} }

%0 = proceedings %B = } %C = New York, NY, USA %D = 2012 %I = ACM Press %T = Proceedings MSM 2012: Workshop on Modeling Social Media -- Collective Intelligence in Social Media} %U =

@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}, series = {LNAI}, publisher = {Springer Verlag}, address = {Heidelberg, Germany}, year = {2012}, volume = {7472}, url = {http://www.kde.cs.uni-kassel.de/atzmueller/paper/lemmerich-explorative-pattern-mining-socia-media-lnai-2012.pdf}, keywords = {2012, collective, data, describing, explorative, images, intelligence, itegpub, locations, media, mining, social, tags, ubiquitous, venus} }

%0 = incollection %A = Lemmerich, Florian and Atzmueller, Martin %B = Modeling and Mining Ubiquitous Social Media %C = Heidelberg, Germany %D = 2012 %I = Springer Verlag %T = Describing Locations using Tags and Images: Explorative Pattern Mining in Social Media %U = http://www.kde.cs.uni-kassel.de/atzmueller/paper/lemmerich-explorative-pattern-mining-socia-media-lnai-2012.pdf

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.

@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}, editor = {Perner, Petra}, booktitle = {Advances in Data Mining. Applications and Theoretical Aspects}, series = {Lecture Notes in Computer Science}, 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 = {10.1007/978-3-642-31488-9_22}, isbn = {978-3-642-31487-2}, keywords = {FCA, IR, Mining, SOTA, Text}, 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.} }

%0 = incollection %A = Poelmans, Jonas and Ignatov, DmitryI. and Viaene, Stijn and Dedene, Guido and Kuznetsov, SergeiO. %B = Advances in Data Mining. Applications and Theoretical Aspects %D = 2012 %I = Springer Berlin Heidelberg %T = Text Mining Scientific Papers: A Survey on FCA-Based Information Retrieval Research %U = http://dx.doi.org/10.1007/978-3-642-31488-9_22

@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}, address = {Bristol, UK}, year = {2012}, keywords = {2012, data, event, itegpub, mining, pattern, sequential, venus} }

%0 = inproceedings %A = Seipel, Dietmar and Neubeck, Philipp and Köhler, Stefan and Atzmueller, Martin %B = Proc. ECML/PKDD Workshop on New Frontiers in Mining Complex Patterns %C = Bristol, UK %D = 2012 %T = Mining Complex Event Patterns in Computer Networks

@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}, address = {Bamberg, Germany}, year = {2011}, keywords = {2013, data, iteg, itegpub, l3s, mining, myown, social, ubiquitous, venus, web} }

%0 = inproceedings %A = Mitzlaff, Folke and Atzmueller, Martin and Stumme, Gerd and Hotho, Andreas %B = Proc. LWA 2013 (KDML Special Track) %C = Bamberg, Germany %D = 2011 %I = University of Bamberg %T = On the Semantics of User Interaction in Social Media (Extended Abstract, Resubmission)

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.

@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 = {10.1016/j.neucom.2010.03.022}, issn = {0925-2312}, keywords = {data, everyaware, mining, orthogonal, polynom, polynoms, representations, series, shape, space, temoral, time}, 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.} }

%0 = article %A = Fuchs, Erich and Gruber, Thiemo and Pree, Helmuth and Sick, Bernhard %D = 2010 %T = Temporal data mining using shape space representations of time series %U = http://www.sciencedirect.com/science/article/pii/S0925231210002237