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Courses in summer term 2011 / BSc Seminar BI+AI+ML / Literatur
Abstract
Literatur

Literatur:

Machine Learning
  • Sofus A. Macskassy, Foster Provost: A Simple Relational Classifier (2003), Proceedings of the Second Workshop on Multi-Relational Data Mining (MRDM-2003) at KDD-2003.
  • Martin Ester, Hans-peter Kriegel, S. Jörg, and Xiaowei Xu. A density-based algorithm for discovering clusters in large spatial databases with noise, 1996.
  • Muhammed Miah: Improved k-NN Algorithm for Text Classification, Int. Conf. on Data Mining - DMIN , pp. 434-440, 2009
  • E. Keogh and A. Ratanamahatana. Everything you know about dynamic time warping is wrong. 3rd Workshop on Mining Temporal and Sequential Data, in conjunction with 10th ACM SIGKDD Int. Conf.Knowledge Discovery and Data Mining (KDD-2004), Seattle, WA, 2004.
  • Eamonn J. Keogh and Michael J. Pazzani. Derivative dynamic time warping. In In First SIAM International Conference on Data Mining (SDM’2001), 2001.
  • Jessica Lin, Eamonn Keogh, Stefano Lonardi, and Bill Chiu. 2003. A symbolic representation of time series, with implications for streaming algorithms. In Proceedings of the 8th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery (DMKD '03). ACM, New York, NY, USA, 2-11.
Recommender Systems
  • Jonathan L. Herlocker, Joseph A. Konstan, Al Borchers, and John Riedl. 1999. An algorithmic framework for performing collaborative filtering. In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '99). ACM, New York, NY, USA, 230-237.
  • Amar Saric, Mirsad Hadzikadic, and David Wilson. 2009. Alternative Formulas for Rating Prediction Using Collaborative Filtering. In Proceedings of the 18th International Symposium on Foundations of Intelligent Systems (ISMIS '09), Springer-Verlag, Berlin, Heidelberg, 301-310.
  • Yehuda Koren, Robert Bell, and Chris Volinsky. 2009. Matrix Factorization Techniques for Recommender Systems. Computer 42, 8 (August 2009), 30-37.
  • Robin van Meteren and Maarten van Someren. Using Content-Based filtering for recommendation.
Tag Recommendation
  • Robert Jaschke, Leandro Marinho, Andreas Hotho, Lars Schmidt-Thieme, and Gerd Stumme. 2007. Tag Recommendations in Folksonomies. In Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases (PKDD 2007), Springer-Verlag, Berlin, Heidelberg, 506-514.
  • Borkur Sigurbjornsson and Roelof van Zwol. 2008. Flickr tag recommendation based on collective knowledge. In Proceeding of the 17th international conference on World Wide Web (WWW '08). ACM, New York, NY, USA, 327-336.
Opinion Mining
  • Soo-Min Kim and Eduard Hovy. 2004. Determining the sentiment of opinions. In Proceedings of the 20th international conference on Computational Linguistics (COLING '04). Association for Computational Linguistics, Stroudsburg, PA, USA
  • Minqing Hu and Bing Liu. 2004. Mining and summarizing customer reviews. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '04). ACM, New York, NY, USA, 168-177.
  • Peter D. Turney. 2002. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics (ACL '02). Association for Computational Linguistics, Stroudsburg, PA, USA, 417-424.
Trust Mining
  • R. Guha, Ravi Kumar, Prabhakar Raghavan, and Andrew Tomkins. 2004. Propagation of trust and distrust. In Proceedings of the 13th international conference on World Wide Web (WWW '04). ACM, New York, NY, USA, 403-412.
  • Paolo Massa and Bobby Bhattacharjee. Using Trust in Recommender Systems: An Experimental Analysis, Lecture Notes in Computer Science, Vol. 2995 (February 2004), pp. 221-235
  • Jennifer Golbeck. Generating predictive movie recommendations from trust in social networks. the 4th international conference on trust management, May 2006.
Link Prediction
  • David Liben-Nowell and Jon Kleinberg. 2003. The link prediction problem for social networks. In Proceedings of the twelfth international conference on Information and knowledge management (CIKM '03). ACM, New York, NY, USA, 556-559.