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Morstatter, F., ürgen Pfeffer, J., Liu, H. & Carley, K. M. Is the Sample Good Enough? Comparing Data from Twitter’s Streaming API with Twitter’s Firehose 2013   article URL  
Bullock, B. N., Jäschke, R. & Hotho, A. Tagging data as implicit feedback for learning-to-rank 2011 Proceedings of the ACM WebSci'11   inproceedings URL  
Hotho, A., Ulslev Pedersen, R. & Wurst, M. Ubiquitous Data 2010 Lecture Notes in Computer Science   article URL  
Song, C., Qu, Z., Blumm, N. & Barabási, A.-L. Limits of Predictability in Human Mobility 2010 Science   article DOIURL  
Atzmueller, M., Lemmerich, F., Krause, B. & Hotho, A. Towards Understanding Spammers - Discovering Local Patterns for Concept Characterization and Description 2009 Proc. LeGo-09: From Local Patterns to Global Models, Workshop at the 2009 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases Knobbe, J. F. A. (ed.)
inproceedings URL  
Atzmueller, M., Lemmerich, F., Krause, B. & Hotho, A. Who are the Spammers? Understandable Local Patterns for Concept Description 2009 7th Conference on Computer Methods and Systems   inproceedings URL  
Krause, B., Schmitz, C., Hotho, A. & Stumme, G. The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems 2008 AIRWeb '08: Proceedings of the 4th international workshop on Adversarial information retrieval on the web   inproceedings DOIURL  
From Web to Social Web: Discovering and Deploying User and Content Profiles 2007 Berendt, B.; Hotho, A.; Mladenic, D. & Semeraro, G. (ed.)
book URL  
Wurst, M. & Morik, K. Distributed feature extraction in a p2p setting: a case study 2007 Future Gener. Comput. Syst.   article DOIURL  
Baeza-Yates, R., Calderón-Benavides, L. & González-Caro, C. The Intention Behind Web Queries 2006 String Processing and Information Retrieval   article URL  
Balakrishnan, H. & Deo, N. Discovering communities in complex networks. 2006 ACM Southeast Regional Conference Menezes, R. (ed.)
inproceedings URL  
Ontology Learning from Text: Methods, Evaluation and Applications 2005 Buitelaar, P.; Cimiano, P. & Magnini, B. (ed.)
Weiss, S. M., Indurkhya, N. & Zhang, T. Text Mining. Predictive Methods for Analyzing Unstructured Information 2004   book URL  
Baldi, P., Frasconi, P. & Smyth, P. Modeling the Internet and the Web: Probabilistic Methods and Algorithms 2003 Modeling the Internet and the Web: Probabilistic Methods and Algorithms   inbook URL  
Dhillon, I. S., Modha, D. S. & Spangler, W. S. Class visualization of high-dimensional data with applications 2002 Computational Statistics & Data Analysis   article URL  
Thrun, S., Burgard, W. & Fox, D. Probabilistic Robotics (Intelligent Robotics and Autonomous Agents) 2001   book URL  
Web Usage Analysis and User Profiling, International WEBKDD'99 Workshop, San Diego, California, USA, August 15, 1999, Revised Papers 2000 WEBKDD Masand, B. M. & Spiliopoulou, M. (ed.)
Pyle, D. Data Preparation for Data Mining 1999   book  
Fayyad, U. M., Piatetsky-Shapiro, G. & Smyth, P. From Data Mining to Knowledge Discovery: An Overview. 1996 Advances in Knowledge Discovery and Data Mining   incollection URL  
Flajolet, P. & Martin, G. N. Probabilistic Counting Algorithms for Data Base Applications 1985 Journal of Computer and System Sciences   article URL  

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