@book{tango2010statistical,
  abstract = {The development of powerful computing environment and the geographical information system (GIS) in recent decades has thrust the analysis of geo-referenced disease incidence data into the mainstream of spatial epidemiology. This book offers a modern perspective on statistical methods for detecting disease clustering, an indispensable procedure to find a statistical evidence on aetiology of the disease under study.

With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Furthermore, the research area of statistical methods for disease clustering now attracts a wide audience due to the perceived need to implement wide-ranging monitoring systems to detect possible health-related events such as the occurrence of the severe acute respiratory syndrome (SARS), pandemic influenza and bioterrorism},
  address = {New York, NY},
  author = {Tango, Toshiro},
  edition = 1,
  format = {ebook},
  interhash = {20ae4f5773d215aded8304c02a071251},
  intrahash = {aa3f9cbf0e4ff83c7323cb2f1d7422eb},
  isbn = {1441915729 (Sekundärausgabe)},
  primaryauthor = {Tango, Toshiro},
  publisher = {Springer New York},
  series = {Statistics for Biology and Health},
  shorttitle = {Statistical Methods for Disease Clustering},
  subtitle = {[Elektronische Ressource] / by Toshiro Tango},
  title = {Statistical Methods for Disease Clustering},
  titlestatement = {by Toshiro Tango},
  uniqueid = {HEB221142568},
  url = {http://scans.hebis.de/HEBCGI/show.pl?22114256_aub.html},
  year = 2010
}

@inproceedings{zhang1996birch,
  acmid = {233324},
  address = {New York, NY, USA},
  author = {Zhang, Tian and Ramakrishnan, Raghu and Livny, Miron},
  booktitle = {Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data},
  doi = {10.1145/233269.233324},
  interhash = {bd3d8e33e8785ecf66408081db016ca4},
  intrahash = {250cecc10ceecd05a96bed00b6cf0fd7},
  isbn = {0-89791-794-4},
  location = {Montreal, Quebec, Canada},
  numpages = {12},
  pages = {103--114},
  publisher = {ACM},
  series = {SIGMOD '96},
  title = {BIRCH: An Efficient Data Clustering Method for Very Large Databases},
  url = {http://doi.acm.org/10.1145/233269.233324},
  year = 1996
}

@book{mehlhorn1988datenstrukturen,
  abstract = {Der Entwurf und die Analyse von Datenstrukturen und effizienten Algorithmen hat in den letzten Jahren große Bedeutung erlangt: Algorithmus ist der zentrale Begriff der Informatik und Effizienz bedeutet Geld. Ich habe den Stoff in drei Bände und neun Kapitel gegliedert. Band 1: Sortieren und Suchen (Kapitel I bis ill) Band 2: Graphenalgorithmen und NP-Vollständigkeit (Kapitel IV bis VI) Band 3: Mehrdimensionales Suchen und Algorithmische Geometrie (Kapitel VII und Vill), Algorithmische Paradigmen (Kapitel IX) Die Bände 2 und 3 haben Band 1 als gemeinsame Basis, sind aber voneinander un­ abhängig. Große Teile dieser Bände können ohne detaillierte Kenntnis von Band 1 gelesen werden; eine Kenntnis der algorithmischen Grundprinzipien, wie sie etwa in Kapitel I oder in vielen anderen Büchern über Datenstrukturen und Algorith­ men vermittelt werden, genügt. Die spezifischen Voraussetzungen für die Bände 2 und 3 sind in den jeweiligen Vorworten angegeben. In allen drei Bänden stellen wir wichtige effiziente Algorithmen für die grundlegenden Probleme in dem jeweiligen Gebiet vor und analysieren sie. Wir messen dabei Effizienz durch die Laufzeit auf einem realistischen Modell einer Rechenanlage, das wir in Kapitel I einführen. Die meisten der vorgestellten Algorithmen wurden erst in den letzten Jahren gefunden; die Informatik ist ja schließlich eine sehr junge Wissenschaft. Es gibt kaum Sätze in diesem Buch, die älter als 20 Jahre sind, und mindestens die Hälfte des Stoffes ist jünger als 10 Jahre. Ich habe stets versucht, den Leser bis an den Stand der Forschung heranzuführen.},
  address = {Stuttgart},
  author = {Mehlhorn, Kurt},
  edition = {Second},
  format = {book},
  hdsurl = {http://hds.hebis.de/ubks/Record/HEB00611184X},
  interhash = {17bcb97bde620ff13b548ea351842dfc},
  intrahash = {7ebd5b77fb4ddb870cc5d4355b1e5563},
  isbn = {3519122553},
  primaryauthor = {Mehlhorn, Kurt},
  publisher = {Teubner},
  pumaurl = {http://puma.uni-kassel.de/bibtex/201aa0c07f271d18203c1110ca14db41b/stephandoerfel},
  shorttitle = {Datenstrukturen und effiziente Algorithmen},
  subtitle = {von Kurt Mehlhorn},
  title = {Datenstrukturen und effiziente Algorithmen 1: Sortieren und Suchen},
  titlesection = {1. Sortieren und Suchen},
  titlestatement = {von Kurt Mehlhorn},
  uniqueid = {HEB00611184X},
  url = {http://hds.hebis.de/ubks/Record/HEB00611184X},
  volume = 1,
  year = 1988
}

@book{deininger1992studienarbeiten,
  address = {Wiesbaden},
  author = {Deininger, Marcus and Lichter, Horst and Ludewig, Jochen and Schneider, Kurt},
  interhash = {6bbd920991ddcf3e854477773ec5d05e},
  intrahash = {159d6fbded9592b44f55958584135f2a},
  isbn = {9783322993755 3322993752},
  publisher = {Vieweg+Teubner Verlag},
  refid = {863887227},
  title = {Studien-Arbeiten ein Leitfaden zur Vorbereitung, Durchführung und Betreuung von Studien-, Diplom- und Doktorarbeiten am Beispiel Informatik},
  url = {http://link.springer.com/book/10.1007/978-3-322-99375-5},
  year = 1992
}

@incollection{Schmitz2006,
  address = {Berlin, Heidelberg},
  author = {Schmitz, Christian and Hotho, Andreas},
  booktitle = {Semantic Web. Wege zur vernetzten Wissensgesellschaft},
  editor = {Pellegrini, Tassilo and Blumauer, Andreas},
  interhash = {5d2006fd26229516581fdb0a8e5ce2fc},
  intrahash = {6597464c7de9aa432636f82a429bed32},
  pages = {273-289},
  publisher = {Springer-Verlag},
  title = {Kollaboratives Wissensmanagement},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006kollaboratives.pdf},
  year = 2006
}

@incollection{Schmitz2006,
  address = {Berlin, Heidelberg},
  author = {Schmitz, Christian and Hotho, Andreas},
  booktitle = {Semantic Web. Wege zur vernetzten Wissensgesellschaft},
  editor = {Pellegrini, Tassilo and Blumauer, Andreas},
  interhash = {5d2006fd26229516581fdb0a8e5ce2fc},
  intrahash = {6597464c7de9aa432636f82a429bed32},
  pages = {273-289},
  publisher = {Springer-Verlag},
  title = {Kollaboratives Wissensmanagement},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006kollaboratives.pdf},
  year = 2006
}

@article{jaeschke2008tag,
  abstract = {Collaborative tagging systems allow users to assign keywords - so called "tags" - to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied.
In this paper we evaluate and compare several recommendation algorithms on large-scale real life datasets: an adaptation of
user-based collaborative filtering, a graph-based recommender built on top of the FolkRank algorithm, and simple methods based on counting tag occurences.  We show that both FolkRank and Collaborative Filtering provide better results than non-personalized baseline methods. Moreover, since methods based on counting tag occurrences are computationally cheap, and thus usually preferable for real time scenarios, we discuss simple approaches for improving the performance of such methods. We show, how a simple recommender based on counting tags from users and resources can perform almost as good as the best recommender.
},
  address = {Amsterdam},
  author = {Jäschke, Robert and Marinho, Leandro and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd},
  doi = {10.3233/AIC-2008-0438},
  editor = {Giunchiglia, Enrico},
  interhash = {b2f1aba6829affc85d852ea93a8e39f7},
  intrahash = {955bcf14f3272ba6eaf3dadbef6c0b10},
  issn = {0921-7126},
  journal = {AI Communications},
  number = 4,
  pages = {231-247},
  publisher = {IOS Press},
  title = {Tag Recommendations in Social Bookmarking Systems},
  url = {http://dx.doi.org/10.3233/AIC-2008-0438},
  vgwort = {63},
  volume = 21,
  year = 2008
}

@inproceedings{jaeschke07organizing,
  address = {Banff, Canada},
  author = {Jäschke, Robert and Grahl, Miranda and Hotho, Andreas and Krause, Beate and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Workshop on Social and Collaborative Construction of Structured Knowledge (CKC 2007) at WWW 2007},
  editor = {Alani, Harith and Noy, Natasha and Stumme, Gerd and Mika, Peter and Sure, York and Vrandecic, Denny},
  interhash = {3fb8454b742da78867511789ff985719},
  intrahash = {b3a5e9851647ca0a7dfb62f041872504},
  title = {Organizing Publications and Bookmarks in BibSonomy},
  url = {http://www2007.org/workshops/paper_25.pdf},
  year = 2007
}

@inproceedings{Hotho06bibsonomy:a,
  abstract = {Abstract. Social bookmark tools are rapidly emerging on the Web. In such systems users are setting up lightweight conceptual structures called folksonomies. The reason for their immediate success is the fact that no specific skills are needed for participating. In this paper we specify a formal model for folksonomies and briefly describe our own system BibSonomy, which allows for sharing both bookmarks and publication references in a kind of personal library. 1},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures},
  editor = {Kang, Moonjeong},
  interhash = {d28c9f535d0f24eadb9d342168836199},
  intrahash = {68a0b88a7ec66c591cf925df915a9b85},
  note = {subtag-supertag},
  pages = {87--102},
  publisher = {Aalborg University Press},
  title = {BibSonomy: A social bookmark and publication sharing system},
  url = {http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.115.3646},
  year = 2006
}

@inproceedings{hotho2006information,
  address = {Heidelberg},
  author = {Hotho, A. and Jaeschke, R. and Schmitz, C. and Stumme, G.},
  booktitle = {The Semantic Web: Research and Applications},
  interhash = {ecd1b171520f24c97c5dd3c41ad2164a},
  intrahash = {f4ddfeef3baf5513258c48271f5d7fb7},
  month = {June},
  pages = {411-426},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  title = {Information Retrieval in Folksonomies: Search and Ranking},
  volume = 4011,
  year = 2006
}

@inproceedings{hotho2006emergent,
  abstract = {Social bookmark tools are rapidly emerging on the Web. In such
systems users are setting up lightweight conceptual structures
called folksonomies. The reason for their immediate success is the
fact that no specific skills are needed for participating. In this
paper we specify a formal model for folksonomies, briefly describe
our own system BibSonomy, 
which allows for sharing both bookmarks and
publication references, 
and discuss first steps towards emergent semantics.},
  address = {Bonn},
  author = {Hotho, Andreas and Jäschke, Robert and Schmitz, Christoph and Stumme, Gerd},
  booktitle = {Informatik 2006 -- Informatik für Menschen. Band 2},
  editor = {Hochberger, Christian and Liskowsky, Rüdiger},
  interhash = {53e5677ab0bf1a8f5a635cc32c9082ba},
  intrahash = {05043cc20f1e0f5a612135c970e4f1ac},
  month = {October},
  note = {Proc. Workshop on Applications of Semantic Technologies, Informatik 2006},
  publisher = {Gesellschaft für Informatik},
  series = {Lecture Notes in Informatics},
  title = {Emergent Semantics in BibSonomy},
  url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/hotho2006emergent.pdf},
  volume = {P-94},
  year = 2006
}