@article{Dzemyda2001,
        title = {Visualization of a set of parameters characterized by their correlation matrix},
        author = {Gintautas Dzemyda},
        journal = {Computational Statistics \& Data Analysis},
        month = {Mar},
        number = 1,
        pages = {15--30},
        volume = 36,
        year = 2001,
        day = 28,
        url = {http://www.sciencedirect.com/science/article/B6V8V-42G0M1M-2/1/1942fa0c881ac46e30c01f33fc678f40},
        biburl = {http://www.bibsonomy.org/bibtex/2c503876bf0ebe4b91b90912532cbba55/smicha},
	keywords = {Visualization}
}

@article{Shortle2000,
        title = {A new method of drawing probability densities},
        author = {John F. Shortle and Max B. Mendel},
        journal = {Computational Statistics \& Data Analysis},
        month = {Jan},
        number = {3-4},
        pages = {313--321},
        volume = 32,
        year = 2000,
        day = 28,
        url = {http://www.sciencedirect.com/science/article/B6V8V-3YYV7H8-7/1/ba53723d041e79164f60a220a8e6a135},
        biburl = {http://www.bibsonomy.org/bibtex/29dc2fcb321838e86ed5ce834ca80a407/smicha},
	keywords = {Visualization}
}

@article{citeulike:393563,
        title = {A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams},
        author = {Ata Kaban and Mark Girolami},
        journal = {Journal of Intelligent Information Systems},
        number = {2/3},
        pages = {107--125},
        volume = 18,
        year = 2002,
        url = {http://www.wkap.nl/article.pdf?391242},
        id = {393563},
	priority = {3},
	comment = {Special Issue on Automated Text Categorization},
	abstract = {We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information. This can be seen as a complementary tool for topic detection and tracking applications. This is achieved by the exploitation of the a priori domain knowledge available, that there are relatively homogeneous temporal segments in the data stream. In a different manner from topographical techniques previously utilized for static text collections, the topography is an outcome of the coherence in time of the data stream in the proposed model. Simulation results on both toy-data settings and an actual application on Internet chat line discussion analysis is presented by way of demonstration.},
	biburl = {http://www.bibsonomy.org/bibtex/2f81bc9315be5c3fb426ee22b2508c4d6/renew},
	keywords = {evolution tdt topic visualization}
}

@article{journals/entcs/NapsR07,
        title = {JHAVÉ - More Visualizers (and Visualizations) Needed.},
        author = {Thomas L. Naps and Guido Rößling},
        journal = {Electr. Notes Theor. Comput. Sci.},
        pages = {33-41},
        volume = 178,
        year = 2007,
        url = {http://dblp.uni-trier.de/db/journals/entcs/entcs178.html#NapsR07},
        ee = {http://dx.doi.org/10.1016/j.entcs.2007.01.035},
	date = {2007-09-21},
	abstract = {We recap the results of an ITiCSE 2002 Working Group report [Naps, T. L., G. Rößling, V. Almstrum, W. Dann, R. Fleischer, C. Hundhausen, A. Korhonen, L. Malmi, M. McNally, S. Rodger and J. A. Velázquez-Iturbide, Exploring the role of visualization and engagement in computer science education, ACM SIGCSE Bulletin 35 (2003), pp. 131–152], which set the stage for the work described here. That work has resulted in the newest release of a system called JHAVÉ, which fosters active engagement on the part of learners by providing a set of standard support tools for certain types of Algorithm Visualization (AV) systems. These AV engines must implement the JHAVÉ Visualizer interface. In return, such engines have convenient access to the engagement-based tools offered by JHAVÉ. The details of adapting one such engine, Animal, are also described. },
	biburl = {http://www.bibsonomy.org/bibtex/229648facf9067831370ad942a9a97cbe/butonic},
	keywords = {DA algorithms edobs flipbook jhave visualization}
}

@article{journals/cga/Naps05,
        title = {JHAVÉ: Supporting Algorithm Visualization.},
        author = {Thomas L. Naps},
        journal = {IEEE Computer Graphics and Applications},
        number = 5,
        pages = {49-55},
        volume = 25,
        year = 2005,
        url = {http://dblp.uni-trier.de/db/journals/cga/cga25.html#Naps05},
        ee = {http://doi.ieeecomputersociety.org/10.1109/MCG.2005.110},
	date = {2006-07-19},
	abstract = {Algorithm visualization (AV) uses computer graphics to depict an algorithm's actions. For computer science students, AV holds the promise of helping them understand algorithms more easily and in greater depth. However, after 15 years of intensive research in this area, that promise remains largely unfulfilled. This article argues that we now have a better understanding of what must be done to turn AV from being merely impressive graphics into an effective pedagogical tool for computer science educators. The article provides an overview of what has been learned from past effectiveness studies. This knowledge is then related to an engagement taxonomy defined in a recent working group report on AV effectiveness. The article then describes the JHAVÉ system, which fosters this type of active engagement by providing a set of standard support tools for certain types of AV systems.},
	biburl = {http://www.bibsonomy.org/bibtex/214321175229e9d9c0818e03bccf78595/butonic},
	keywords = {DA algorithms edobs flipbook jhave visualization}
}

@article{kent95creating,
        title = {Creating a Web Analysis and Visualization Environment},
        author = {Robert E. Kent and Christian Neuss},
        journal = {Computer Networks and ISDN Systems},
        number = {1\&2},
        pages = {109-117},
        volume = 28,
        year = 1995,
        url = {http://dblp.uni-trier.de/db/journals/cn/cn28.html#KentN95},
        ee = {http://dx.doi.org/10.1016/0169-7552(95)00095-X},
	date = {2003-02-14},
	biburl = {http://www.bibsonomy.org/bibtex/2a9f6da98afa14d110a529e515e8f592b/stumme},
	keywords = {Analysis Creating FCA OntologyHandbook Visualization Web analysis concept creating fca formal visualization web}
}

@book{Kohonen2001,
        title = {Self-Organizing Maps},
        address = {Berlin},
        author = {Teuvo Kohonen},
        publisher = {Springer},
        year = 2001,
        biburl = {http://www.bibsonomy.org/bibtex/2fdca87747a451a608791fc234073f0e0/danielt},
	keywords = {dipl_literatur related_work som visualization}
}

@article{Kohonen82,
        title = {Self-Organized Formation of Topologically Correct Feature Maps},
        author = {Teuvo Kohonen},
        journal = {Biological Cybernetics},
        pages = {59--69},
        volume = 43,
        year = 1982,
        biburl = {http://www.bibsonomy.org/bibtex/2b08749f1704199f95ddcda488d03ae40/danielt},
	keywords = {dipl_literatur related_work som visualization}
}

@inproceedings{AndrewsGMSL01,
        title = {Search Result Visualisation with xFIND.},
        author = {Keith Andrews and Christian Gütl and Josef Moser and Vedran Sabol and Wilfried Lackner},
        booktitle = {UIDIS},
        pages = {50-58},
        year = 2001,
        url = {http://dblp.uni-trier.de/db/conf/uidis/uidis2001.html#AndrewsGMSL01},
        date = {2002-01-03},
	description = {dblp},
	biburl = {http://www.bibsonomy.org/bibtex/2f19a0986bbe5e5b5b7fb6dab852180be/danielt},
	keywords = {dipl_literatur related_work visualization}
}

@article{Basalaj1999,
        title = {Incremental multidimensional scaling method for database visualization},
        author = {W. Basalaj},
        journal = {Proc. Visual Data Exploration and Analysis VI, SPIE},
        pages = {149--158},
        volume = 3643,
        year = 1999,
        biburl = {http://www.bibsonomy.org/bibtex/2f57d8fcd988c5a4b4e4a99135d55eb4f/danielt},
	keywords = {dipl_literatur mds visualization}
}