Core Lecture

Information Retrieval and Data Mining

Wintersemester 2005/06
Prof. Dr.-Ing. Gerhard Weikum
Julia Luxenburger
Georgiana Ifrim
Tom Crecelius
Christian Zimmer
Max-Planck-Institut für Informatik
Stuhlsatzenhausweg 85
66123 Saarbrücken

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  • Soumen Chakrabarti: Mining the Web: Analyis of Hypertext and Semi Structured Data, Morgan Kaufmann, 2002.
  • David A. Grossman, Ophir Frieder: Information Retrieval: Algorithms and Heuristics, Springer, 2004.
  • Christopher D. Manning, Hinrich Schütze: Foundations of Statistical Natural Language Processing, MIT Press, 1999.
  • Ian H. Witten: Managing Gigabytes: Compressing and Indexing Documents and Images, Morgan Kaufmann, 1999.
  • Ricardo Baeza-Yates, Berthier Ribeiro-Neto: Modern Information Retrieval, Addison-Wesley, 1999.
  • Pierre Baldi, Paolo Frasconi, Padhraic Smyth: Modeling the Internet and the Web - Probabilistic Methods and Algorithms, Wiley & Sons, 2003.
  • Jiawei Han, Micheline Kamber: Data Mining: Concepts and Techniques, Morgan Kaufmann, 2000.
  • Ian H. Witten, Eibe Frank: Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, 2005.
  • David J. Hand, Heikki Mannila, Padhraic Smyth: Principles of Data Mining, MIT Press, 2001.
  • Trevor Hastie, Robert Tibshirani, Jerome H. Friedman: Elements of Statistical Learning, Springer, 2001.
  • Richard O. Duda, Peter E. Hart, David G. Stork: Pattern Classification, Wiley & Sons, 2000.
  • Tom M. Mitchell: Machine Learning, McGraw-Hill, 1997.
  • Arnold Allen: Probability, Statistics, and Queueing Theory with Computer Science Applications, Academic Press, 1990.
  • George Casella, Roger L. Berger: Statistical Inference, Duxbury, 2002.
  • Larry Wasserman: All of Statistics, Springer, 2004.
  • Erik Hatcher, Otis Gospodnetic: Lucene in Action, Manning Publications, 2004.
  • Tony Loton: Web Content Mining with Java, John Wiley & Sons, 2002.
  • Margaret H. Dunham: Data Mining, Pearson Education, 2003