| Author | Title | Year | Journal/Proceedings | Reftype | DOI/URL |
|---|---|---|---|---|---|
| Goldberg, M., Magdon ismail, M., Nambirajan, S. & Thompson, J. | Tracking and Predicting Evolution of Social Communities [BibTeX] |
? | article | URL | |
BibTeX:
@article{goldbergtracking,
author = {Goldberg, Mark and Magdon ismail, Malik and Nambirajan, Srinivas and Thompson, James},
title = {Tracking and Predicting Evolution of Social Communities},
year = {?},
url = {http://130.203.133.150/viewdoc/summary;jsessionid=F5AEFEF80D05D6B5A0262BA46AEE899D?doi=10.1.1.225.2523}
}
|
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| Tillmann, H. | Browser Fingerprinting: Tracking ohne Spuren zu hinterlassen | 2013 | School: Humboldt-Universität zu Berlin | mastersthesis | |
| Abstract: Bei dem Aufruf einer Website werden Informationen, u. a. Angaben über das verwendete Betriebssystem und den verwendeten Browser, an den Server gesendet. Über lokal ausgeführte Skripte oder Plugins lassen sich weitere Konfigurationsmerkmale abfragen. So können die verwendete Bildschirmauflösung, die Systemfarben, die Liste der installierten Schriftarten und weitere Eigenschaften des Geräts ermittelt und dann zum Server übertragen werden. Aus diesenMerkmalen kann ein virtueller Fingerabdruck (Browser Fingerprint) erstellt werden, der den Nutzer möglicherweise eindeutig identifiziert.
In dieser Diplomarbeit werden die einzelnen Merkmale des Fingrprintings vorgestellt und in einer begleitenden Feldstudie eingesetzt. Ihr geht die Hypothese voraus, dass viele, wenn auch nicht alle, Browser Fingerprints einzigartig sind. Ebenso wird in dem Dokument erläutert, wie diese zum Tracking von Nutzern verwendet werden können, welche weiteren Möglichkeiten abseits der klassischen Verwendung von Cookies existieren und ob sich der Nutzer davor schützen kann. |
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BibTeX:
@mastersthesis{tillmann2013browser,
author = {Tillmann, Henning},
title = {Browser Fingerprinting: Tracking ohne Spuren zu hinterlassen},
school = {Humboldt-Universität zu Berlin},
year = {2013}
}
|
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| Schult, R. & Kurbjuhn., B. | Potenzial des Data Mining für Ressourcenoptimierung mobiler Geräte im Krankenhaus | 2010 | Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen & Adaptivitaet | inproceedings | URL |
| Abstract: Computerunterstütztes Ressourcenmanagement in Krankenhäusern wird, nicht zuletzt durch den Kostendruck, immer wichtiger. Wir besprechen, wie mit Data Mining Technologien das Ressourcenmanagement für mobile medizinische Geräte in einem Krankenhaus unterstützt werden kann und welches Potenzial in der Auswertung von Nutzungsdaten für ein Krankenhaus bestehen. | |||||
BibTeX:
@inproceedings{kdml15,
author = {Schult, Rene and Kurbjuhn., Bastian},
title = {Potenzial des Data Mining für Ressourcenoptimierung mobiler Geräte im Krankenhaus},
booktitle = {Proceedings of LWA2010 - Workshop-Woche: Lernen, Wissen {\&} Adaptivitaet},
year = {2010},
url = {http://www.kde.cs.uni-kassel.de/conf/lwa10/papers/kdml15.pdf}
}
|
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| Leskovec, J., Backstrom, L. & Kleinberg, J. | Meme-tracking and the dynamics of the news cycle | 2009 | KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining | inproceedings | DOIURL |
| Abstract: Tracking new topics, ideas, and "memes" across the Web has been an issue of considerable interest. Recent work has developed methods for tracking topic shifts over long time scales, as well as abrupt spikes in the appearance of particular named entities. However, these approaches are less well suited to the identification of content that spreads widely and then fades over time scales on the order of days - the time scale at which we perceive news and events. We develop a framework for tracking short, distinctive phrases that travel relatively intact through on-line text; developing scalable algorithms for clustering textual variants of such phrases, we identify a broad class of memes that exhibit wide spread and rich variation on a daily basis. As our principal domain of study, we show how such a meme-tracking approach can provide a coherent representation of the news cycle - the daily rhythms in the news media that have long been the subject of qualitative interpretation but have never been captured accurately enough to permit actual quantitative analysis. We tracked 1.6 million mainstream media sites and blogs over a period of three months with the total of 90 million articles and we find a set of novel and persistent temporal patterns in the news cycle. In particular, we observe a typical lag of 2.5 hours between the peaks of attention to a phrase in the news media and in blogs respectively, with divergent behavior around the overall peak and a "heartbeat"-like pattern in the handoff between news and blogs. We also develop and analyze a mathematical model for the kinds of temporal variation that the system exhibits. | |||||
BibTeX:
@inproceedings{1557077,
author = {Leskovec, Jure and Backstrom, Lars and Kleinberg, Jon},
title = {Meme-tracking and the dynamics of the news cycle},
booktitle = {KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining},
publisher = {ACM},
year = {2009},
pages = {497--506},
url = {http://portal.acm.org/citation.cfm?id=1557077},
doi = {http://doi.acm.org/10.1145/1557019.1557077}
}
|
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| AlSumait, L., Barbará, D. & Domeniconi, C. | On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking. [BibTeX] |
2008 | ICDM | inproceedings | URL |
BibTeX:
@inproceedings{conf/icdm/AlSumaitBD08,
author = {AlSumait, Loulwah and Barbará, Daniel and Domeniconi, Carlotta},
title = {On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking.},
booktitle = {ICDM},
publisher = {IEEE Computer Society},
year = {2008},
pages = {3-12},
url = {http://dblp.uni-trier.de/db/conf/icdm/icdm2008.html#AlSumaitBD08}
}
|
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| Link, D., Tietze, H., Schmidt, L., Sievert, A., Gorges, W. & Leyk, D. | Berührungslose Augen- und Blickbewegungsmessung | 2008 | Ergonomie und Mensch-Maschine-Systeme | incollection | |
| Abstract: Für die Untersuchung ergonomischer Fragestellungen bietet sich der Einsatz berührungsloser Blickerfassungssysteme an. Am FGAN Forschungsinstitut für Kommunikation, Informationsverarbeitung und Ergonomie wird zurzeit das System SmartEye Pro verwendet, um Kopfstellung, Blickrichtung und Bewegungen des Augenlides von Probanden in Echtzeit zu erfassen. In zwei Vorstudien wurden die Auswirkung verschiedener Kalibrierungseinstellungen auf die Trackingqualität und die Qualität der Messung von Sakkaden und Fixationen evaluiert. Es zeigte sich, dass das System geeignet ist, statistische Aussagen in Bezug auf Blickbewegungen und Lidschlussverhalten zu generieren. Jedoch ist die Bestimmung von Sakkaden- und Fixationsparametern nur eingeschränkt möglich. Unter Berücksichtigung dieser Restriktionen wird das System zurzeit in einem Verbundforschungsprojekt mit der Deutschen Sporthochschule Köln und dem Zentralen Institut des Sanitätsdienstes der Bundeswehr Koblenz zur Erfassung der psycho-physiologische Leistungsfähigkeit von Soldaten verwendet. | |||||
BibTeX:
@incollection{Link.2008,
author = {Link, D. and Tietze, H. and Schmidt, L. and Sievert, A. and Gorges, W. and Leyk, D.},
title = {Berührungslose Augen- und Blickbewegungsmessung},
booktitle = {Ergonomie und Mensch-Maschine-Systeme},
publisher = {Springer},
year = {2008},
pages = {371-391}
}
|
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| Morris, S. & Barnard, K. | Finding trails | 2008 | Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on | inproceedings | DOIURL |
| Abstract: We present a statistical learning approach for finding recreational trails in aerial images. While the problem of recognizing relatively straight and well defined roadways in digital images has been well studied in the literature, the more difficult problem of extracting trails has received no attention. However, trails and rough roads are less likely to be adequately mapped, and change more rapidly over time. Automated tools for finding trails will be useful to cartographers, recreational users and governments. In addition, the methods developed here are applicable to the more general problem of finding linear structure. Our approach combines local estimates for image pixel trail probabilities with the global constraint that such pixels must link together to form a path. For the local part, we present results using three classification techniques. To construct a global solution (a trail) from these probabilities, we propose a global cost function that includes both global probability and path length. We show that the addition of a length term significantly improves trail finding ability. However, computing the optimal trail becomes intractable as known dynamic programming methods do not apply. Thus we describe a new splitting heuristic based on Dijkstra's algorithm. We then further improve upon the results with a trail sampling scheme. We test our approach on 500 challenging images along the 2500 mile continental divide mountain bike trail, where assumptions prevalent in the road literature are violated. | |||||
BibTeX:
@inproceedings{4587819,
author = {Morris, S. and Barnard, K.},
title = {Finding trails},
booktitle = {Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on},
year = {2008},
pages = {1-8},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=4587819},
doi = {http://dx.doi.org/10.1109/CVPR.2008.4587819}
}
|
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| Santos-Neto, E., Ripeanu, M. & Iamnitchi, A. | Tracking User Attention in Collaborative Tagging Communities [BibTeX] |
2007 | misc | URL | |
BibTeX:
@misc{santosneto07,
author = {Santos-Neto, Elizeu and Ripeanu, Matei and Iamnitchi, Adriana},
title = {Tracking User Attention in Collaborative Tagging Communities},
year = {2007},
url = {http://arxiv.org/pdf/0705.1013}
}
|
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| Oberle, D., Berendt, B., Hotho, A. & Gonzalez, J. | Conceptual User Tracking [BibTeX] |
2003 | Advances in Web Intelligence, First International Atlantic Web Intelligence Conference, AWIC 2003, Madrid, Spain, May 5-6, 2003, Proceedings | inproceedings | URL |
BibTeX:
@inproceedings{awic2003,
author = {Oberle, Daniel and Berendt, Bettina and Hotho, Andreas and Gonzalez, Jorge},
title = {Conceptual User Tracking},
booktitle = {Advances in Web Intelligence, First International Atlantic Web Intelligence Conference, AWIC 2003, Madrid, Spain, May 5-6, 2003, Proceedings},
publisher = {Springer},
year = {2003},
volume = {2663},
pages = {142-154},
url = {http://www.aifb.uni-karlsruhe.de/WBS/dob/pubs/awic2003.pdf}
}
|
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