1 Susanne Hoche, University of Bristol Logo[ Bristol CS | MLBC Group | Susanne Hoche ]

Dr Susanne Hoche

Research Fellow
Room 2.01, Department of Computer Science
University of Bristol
Merchant Venturers Building
Woodland Road          
Bristol BS8 1UB, UK
Tel:
Fax: +44 (0)117-954 5156
e-mail: hoche@cs.bris.ac.uk

Research Interests

Learning from Networked Data, Inductive Logic Programming, Ensemble Methods


Current Project

I am a member of the Applied Research Team at the University of Bristol, a group of researchers from five different University of Bristol departments (Computer Science, Electrical and Electronic EngineeringEngineering Mathematics, Experimental Psychology , Mathematics) financed by GCHQ and the University of Bristol.

The Computer Science project "Infomation Integration and Data Mining" aims to develop methods for integrating and mining heterogeneous digital information from a wide variety of sources including newsgroups postings, on-line scientific papers, and  web repositories. Tasks such as mining and learning from networked data, entity deduplication, and the identification of atypical data, are the main focus of  this project.


General Background

Before I came to Bristol, I was a lecturer (2004-2005) in the Computer Science department of UEA, Norwich, and a Research Associate in the Computer Science Department of Magdeburg University (2000-2003) and Bonn University (2003-2004). I received my PhD  from Bonn University, Germany. 


Academic Activities

   
  Organised Events
       
  • I am one of the guest editors of the "Network Analysis in Natural Sciences and Engineering" Special Issue of AI Communications Journal
  • I co-organised the  Network Analysis in Natural Sciences and Engineering Symposium as part of the AISB'06: Adaptation in Artificial and Biological Systems
      
  •      Program Committees

  • European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2009, Bled, Slovenia, September 7-11, 2009
  • MLG 2009: 7th International Workshop on Mining and Learning with Graphs Co-located with ILP 2009 and SRL 2009, Leuven, Belgium, July 2-4, 2009
  • MLG 2008: 6th International Workshop on Mining and Learning with Graphs Co-located with ICML 2008, COLT 2008 and UAI 2008, Helsinki, Finland, July 4 and 5, 2008
  • Bridging the Gap between Semantic Web and Web 2.0 International Workshop located at the 4th European Semantic Web Conference ESWC 2007, June 6-7, 2007 - Innsbruck, Austria.
  • European Conference on Machine Learning (ECML) 2006, September 18-22 2006, Berlin, Germany
  • Network Analysis in Natural Sciences and Engineering Symposium as part of the AISB'06: Adaptation in Artificial and Biological Systems, April 3rd-6th 2006, University of Bristol

  •      Peer-Reviewing


  • European Conference on Machine Learning (ECML) 2001-2003, 2005-2006
  • European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) 2000-2003, 2006
  • German Informatics Society (GI), Annual Meeting of the Machine Learning Section (FGML) 2002-2003
  • IEEE International Conference on Data Mining (ICDM) 2003, 2005-2007
  • International Conference on Machine Learning 2007(ICML-07)
  • IDA-05
  • International Conference on Inductive Logic Programming (ILP) 2002-2003
  • International Conference on Knowledge Discovery and Data Mining (KDD) 2003, 2005
  • Machine Learning Journal, 2004
  • Wiley, 2004

  •      Tutorials


  • Ensemble Methoden. DaMiT: Data Mining Tutor. http://neumann.dfki.uni-sb.de/damit
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