Christoph Schommer

Associate professor

Academic Area(s) Computer science
Research Topics Data Mining, Text Mining, Data Science, Machine Learning, Intelligent Databases
Faculty or Centre Faculté des Sciences, de la Technologie et de la Communication
Research Unit CSC
Postal Address Campus Kirchberg, Université du Luxembourg
6, rue Richard Coudenhove-Kalergi
L-1359 Luxembourg
Campus Office G 108
Email
Telephone (+352) 46 66 44 5228
Fax (+352) 46 66 44 5500
Joined the University in 2003

About me
Curriculum Vitae
  • Head of ILIAS (2013 - 2014)
  • Affiliated Faculty member of the SnT (2011 - 02/2015)
  • Associate Professor at the University of Luxembourg (2009 - today).
  • Director of Studies - Master of Science in Computer and Information Sciences (MICS) (2005 - 09)
    • Accreditation of MICS by an international committee
    • Self Evaluation Report / Self-evaluation of the University
  • Assistant Professor at the University of Luxembourg (2003-2009).
     
  • IBM Software Group, Berlin (IT Architect; 2001-03). 
  • IBM Research & Development, Böblingen (Germany) + Almaden (USA) (Senior Consultant; 1998-2001).
  • IBM Global Services (1997-98), Frankfurt/Main.
     
  • Lecturer /  Goethe-University Frankfurt am Main (2001-2007).
  • Lecturer / University of Potsdam (2002-03).
     
  • PhD (Doctor philosophiae naturalis) in Computer Science from the Dept. of Computer Science, Goethe-University of Frankfurt/Main (2000). Reviewers: Prof. Dr. Roberto Zicari, Prof. Dr. Wolfgang Giere.
     
  • Wissenschaftlicher Mitarbeiter, Research Group Database and Information Systems, Prof. Zicari, Goethe-University of Frankfurt/Main (1994-96) 
  • Diploma in Computer Science from the University of Saarbrücken and DFKI in 1993.

Last updated on: Tuesday, 03 March 2015

Projects

  • Contributing to the Suffering and Pain project, lead by Dr. Smadar Bustan, Psychophysiology and Neurophysiology Laboratory, University of Luxembourg.
  • ESCAPE (2012-15; Efficiency, Spreading of Crisis and Algorithmic Policy Evolution / Project Lead by Prof. Grammatikos, LSF.
  • ADAM (2005-07; Adaptive Associative Memories) / Project Lead
  • TRIAS (2005-08; Trust and Reliability in Agent Systems; with Prof. van der Torre, Dr. Weydert) / Project Lead
  • ICC (2006-09; Inventing Communities of Communication; with Dr. Patrice Caire) / Project Lead
  • Evo-Business (2005-08; Evolutionary Computing and e-Business) / Project Lead by Prof. Bouvry.
  • Intra (2004-07; Intrusion Detection in Computer Networks) / Project Lead by Prof. Sorger + Prof. Malvetti.

Invited Stays

Reviewer of Journals

Reviewer of international conferences and Invited Member of Program Committees

2016

  1. ICAART – 8th International Conference on Agents and Artificial Intelligence. Rome, Italy. Feburary 24 - 26. 

2015

  1. 24th IJCAI - International Joint Conference on Artificial Intelligence. Buenos Aires, Argentina. July 25 - 31, July. 
  2. ECML/PKDD. Porto, Portugal. Scientific Track. September 7 - 11.
  3. 28th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Sao Paulo, Brazil. June 22 – 25. 
  4. 37th CogSci - Annual Conference of the Cognitive Science Society. Mind, Technology, and Society. Pasadena, CA, USA. July 23-25.
  5. European-Asia-Pacific Conference on Cognitive Science (EAPCogSci), Torino, Italy. September 25 – 27. 
  6. FAB 2015 - International Symposium on Foundations and Applications of Big Data Analytics. Paris, France. August 27 - 28.
  7. CORIA – Conférence en Recherche d’Information et Applications. Paris, France. March 18 – 20. 
  8. ICAART – 7th International Conference on Agents and Artificial Intelligence. Lisbon, Portugal. January 10 -12. 
  9. The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Iasi, Romania. June 18 – 24. 
  10. 7th NCTA - International Conference on Neural Computation Theory and Applications. Lisbon, Portugal. November 12 – 14. 
  11. 12th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Zhangjiajie, PR of China. August 15 – 17. 
  12. International Workshop on Machine learning, Optimization and big Data (MOD). Taormina, Sicilia, Italy. July 21 - 24. 

2014

  1. ECML/PKDD. Nancy, France. September 15 – 19. 
  2. 36th CogSci - Annual Conference of the Cognitive Science Society. Cognitive Science Meets Artificial Intelligence: Human and Artificial Agents in Interactive Contexts. Quebec, Canada. 
  3. ICAART – 6th International Conference on Agents and Artificial Intelligence. Angers, France. March 6 – 8. 
  4. The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. July 1-4 2014 at Beijing, China. 
  5. 6th NCTA - International Conference on Neural Computation Theory and Applications. Rome, Italy. October 22 – 24. 
  6. 11th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Xiamen, PR of China. August 19 – 21. 
  7. ECDA - European Conference on Data Analysis. Bremen, Germany. July 1 - 4. 
  8. IEEE 23rd International Symposium on Industrial Electronics (ISIE). Istanbul, Turkey. June 1 – 4. 

2013

  1. ECML/PKDD. Prague, September 23 – 27. 
  2. 35th CogSci - Annual Conference of the Cognitive Science Society. Berlin, Germany. July 31 – August 3. 
  3. 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Porto, Portugal. June 20 – 22. 
  4. 12th International Conference on Cognitive Modeling. Ottawa, Canada. July 11 – 14. 
  5. ICAART – 5th International Conference on Agents and Artificial Intelligence. Barcelona, Spain. February 15 – 18. 
  6. 10th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Shenyang. July 23 – 25. 
  7. ICAS - 9th International Conference on Autonomic and Autonomous Systems. Lisbon, Portugal. March 24 - 29.
  8. The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Leiden, Belgium. July 11 – 13. 
  9. 5th NCTA - International Conference on Neural Computation Theory and Applications. Vilamoura, Portugal. September 20 – 22. 

2012

  1. 34th CogSci - Annual Conference of the Cognitive Science Society. Sapporo, Japan. August 1 – August 4. 
  2. 25th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on Learning-based Biomedical Information Systems. Rome, Italy. June 20 - 22. 
  3. ICAART – 4th International Conference on Agents and Artificial Intelligence. Vilamoura, Portugal. February 6 - 8. 
  4. The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Mexico City, Mexico. August 7 - 9. 
  5. 4th NCTA - International Conference on Neural Computation Theory and Applications. Barcelona, Spain. October 5 – 7. 
  6. 9th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Chongquing, PR of China. May 29 – 31. 
  7. ECDA - European Conference on Data Analysis. Luxembourg, Luxembourg. July 10 - 14. 

2011

  1. 33rd CogSci - Annual Conference of the Cognitive Science Society. Boston, MA, USA. July 20 – July 23. 
  2. 24th IEEE International Symposium on Computer-Based Medical Systems (CBMS).Workshop on Knowledge Discovery and Decision Systems in Biodemedicine. June 27 – 30. 
  3. ICAART – 3rd International Conference on Agents and Artificial Intelligence. Rome, Italy. January 28 – 30. 
  4. The EVOLVE International Conference – A bridge between probability, set-oriented numerics, and Evolutionary Computing. Luxembourg, Luxembourg. May 25 – 27. 
  5. 3rd NCTA - International Conference on Neural Computation Theory and Applications. Paris, France. October 24 – 26. 
  6. 8th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Shanghai, PR of China. July 26 – 28. 

2010

  1. 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on eHealth. Perth, Australia. October 12 -15. 
  2. IEEE Conference on Computer Systems and Applications (AICCSA) - Special Track on Soft Computing. Hammamet, Tunesia. May 16 – 19. 
  3. 7th IEEE International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). Yantai, PR of China. August 10 – 12. 
  4. BNAIC - Benelux Conference on Artificial Intelligence. Luxembourg, Luxembourg. October 25 – 26. 
  5. ICNC - International Conference on Neural Computation. Madeira, Portugal. October 5 – 7. 

2009

  1. 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS). Workshop on Data Mining. Albuquerque, New Mexico, USA. August 2 – 5. 

2008

  1. 21th IEEE International Symposium on Computer-Based Medical Systems (CBMS)Workshop on Knowledge Discovery and Knowledge-based Techniques in Medicine. Jyväskylä, Finland. Juni 17 – 19. 

Conference Organization

Contacts



Last updated on: 25 Mar 2015

Leitmotif

We believe in a cascade of data, information, insights, knowledge and back to data. We work on the different aspects to discover valuable insights in data (masses).

  • Data is the 'nutrient solution' for any kind of processing. It exists everywhere, but is depending on changes of the environment (for example, through valuable insights or knowledge).
  • The term insights refers to information that has a certain worth and importance, for example a reliable model to predict anomalies or outliers, a topic engine to identify financial terms, or a conversational pattern within texts, which explains a characteristic feature. Insights are different to information, since information implies structures that may be redundant, worthless, and suboptimal as well. Discovered insights, on the other side, affect a behavioral change with respect to the data, quasi an inherent adaptation (and optimization). We call systems, which support such an adaptive cascade: intelligent. An inherent data (and information) complexity can be reduced to its essence and temporal changes encountered.
  • Knowledge refers to discovered insights, which have proven a worth (over time).

The learning outcome for each course is an understanding of the content. I attach importance to the 'why' rather than to the 'how', encouraging students to look for alternatives, to be curious and critical, and to understand problems from different perspectives.

Academic Course Programme

Current courses reflect the cascade explained above:

  • The Bachelor courses are concerned with Data Science, focusing on applications. Here, we concern aspects like Data Modeling and SQL, modern Data Management systems, and Data Quality (part I) as well as Database Transactions and Concurrency, ACID, Data Security and Privacy Data Visualization, Data Mining, and Data Warehousing (part II, part III).
  • The Master courses concern more scientific aspects in the information area: Information Retrieval (Bopolean Model, Dictionaries, Natural Language Processing, Vector Space Model, Ranking, Evaluation, Text Classification, PageRank, etc), Data Mining and Knowledge Discovery (Preprocessing, Machine Learning algorithms, Interpretation and Evaluation), Machine Learning (Deeper insights in Machine Learning algorithmics).

Summer 2015

Winter 2014/15

  • Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2014

  • Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
  • Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2013/14

  • Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2013

  • Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
  • Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Recent Advances in Text Mining and Retrieval (1 ECTS). Doctoral School in Computer Science and Computer Engineering (DS-CSCE). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2012/13

  • Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2012

  • Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
  • Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2011/12

  • Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2011

  • Database Management II (4 ECTS). Semester 4. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
  • Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2010/11

  • Database Management I (5 ECTS). Semester 3. Professional Bachelor of Informatics. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Retrieval and Learning (2 ECTS). Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2010

  • Database Management II (4 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2009/10

  • Database Management I (5 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Intelligent Systems (6 ECTS). With R. BisdorffP. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Machine Learning (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2009

  • Database Management II (4 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2008/09

  • Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Intelligent Systems (6 ECTS). With R. BisdorffP. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Natural Language Processing and Text Mining (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Applied Mining in Security (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2008

  • Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Winter 2007/08

  • Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Intelligent Systems (6 ECTS). With R. BisdorffP. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Applied Mining in Security (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Natural Language Processing and Text Mining (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2007

  • Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Data Mining (2 ECTS). Master of Science in Computational Sciences. Goethe-University Frankfurt/Main, Germany.

Winter 2006/07

  • Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Intelligent Systems (6 ECTS). With R. BisdorffP. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Applied Mining in Security (4 ECTS). Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Selected topics in AI (4 ECTS). With Leon van der Torre and Emil Weydert. Semester 3. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2006

  • Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Knowledge Discovery and Data Mining (5 ECTS). Semester 2. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
  • Text Retrieval and Mining (2 ECTS). Diploma Programme in Computer Science, Goethe-University Frankfurt/Main, Germany.

Winter 2005/06

  • Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Intelligent Systems (6 ECTS). With R. BisdorffP. Bouvry, and L. van der Torre. Semester 1. Master of Information and Computer Science (MiCS). Dept. of Computer Science and Communication. University of Luxembourg.
The Master Programme in Information and Computer Sciences (MICS) has started!

Summer 2005

  • Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Winter 2004/05

  • Database Management II (4 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.

Summer 2004

  • Database Management I (5 ECTS). Semester 4. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Computer-based Learning (2 ECTS). Diploma Programme in Computer Science, Goethe-University Frankfurt/Main, Germany.

Winter 2003/04

  • Scripting Languages (2 ECTS). Semester 3. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Information Visualization (2 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Business Intelligence (4 ECTS). Semester 5. Professional Bachelor of Engineering. Dept. of Computer Science and Communication. University of Luxembourg.
  • Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Summer 2003

  • Medical Computer Science (2 ECTS). Diploma Programme in Computer Science, University of Potsdam, Germany.
  • Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Winter 2002/03

  • Data Mining (2 ECTS). Diploma Programme in Computer Science, University of Potsdam, Germany.
  • Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

Summer 2002

  • Data Mining (2 ECTS). Diploma Programme in Computer Science. Goethe-University Frankfurt/Main, Germany.

 

Certification Course IBM - DB2 Database

  • IBM DB2 V9 Certification Tests 730 and 731 - October 8, 2008 (UL)
  • IBM DB2 V9 Certification Tests 730 - September 24, 2008 (UL)
  • IBM DB2 V9 Certification Tests 730 and 731 - 2002 (Goethe-University Frankfurt)
  • IBM DB2 V9 Certification Tests 730 - 2002 (Goethe-University Frankfurt)



Last updated on: 25 Mar 2015

Secretary

Current Team Members

Current Co-Supervisions and Reviews

Supervised PhD Students

Not supervised, but member of PhD Defences

Other former members

Former Master/Diploma Candidates

  • Aikaterini Karanasiou, Master Thesis project "Medical Text Mining using Supervised Machine Learning for the Recognition of Drugs and Disorders". With Dr. Asma Ben Abacha, CRP Tudor (Master Thesis).
  • Alain Pfeiffer: Generating cloze key-distractor pairs from texts. University of Luxembourg. 2015. (Supervisor)
  • Rahmi Emre Ocakdan: Implementation of k-Anonymity to protect sensitive data. University of Luxembourg. 2014. (Supervisor)
  • Cristina Ghet: Preserving innocence and traps perspective in linguistic steganography. University of Luxembourg. 2014. (Supervisor)
  • Diana Marosin Changing Enterprise Architectures: Abstract Framework, Revision Procedures and Algorithms. University of Luxembourg. 2012. (co-Supervisor)
  • Paul Bicheler:A toolkit for table-based tangible widgets. University of Luxembourg. 2012. (Co-Supervisor)
  • Sergio Sousa  Intention Detection for BCI-controlled Robots. University of Luxembourg. 2011. (Supervisor)
  • Francois Beckius: A Method for Closed-Loop Brain-Computer-Interface Training Using a 14-Channel EEG. University of Luxembourg. 2011. (Supervisor)
  • Ronny Heinz: Do you know who you are - using scientific paper abstracts for author profiling. University of Luxembourg. 2010. (Supervisor)
  • Damien Garot: The n-tier Interactional and Pro-active Architecture of a SCORM Compliant Learning Management System. University of Luxembourg. 2009. (Co-Supervisor)
  • Cailing Dong: Text Mining and Characterization of Bibliographic Communities. University of Luxembourg. 2008. (Supervisor)
  • Naipeng Dong:  A Fingerprint Engine for Author Profiling. University of Luxembourg. 2008. (Supervisor)
  • Yafang Wang:  Associative Mind-maps for Trust Modeling. University of Luxembourg. 2008. (Supervisor)
  • Claudine Brucks:  Semantic Network Learning from Textual Streams. University of Luxembourg. 2008. (Supervisor)
  • Cynthia Wagner: CoZo+: A framework for Content Zoning of Text Streams. University of Luxembourg. 2008. (Supervisor)
  • Sviatlana Danilava: Attitude Mining zur Erkennung von Modalitaeten.. University of Luxembourg and Goethe-University Frankfurt/Main. 2008. (Co-Supervisor)
  • Jun Ma. University of Luxembourg. 2008 (Co-Supervisor).
  • Jayanta Poray. University of Luxembourg. 2008. (Co-Supervisor)
  • Gerard de Melo. University of Frankfurt. 2007. (Co-Supervisor)
  • Jasmin Dzaferovic.. University of Frankfurt. 2007 (Co-Supervisor).
  • Ejikeme Uzoghukwu: Adaptive Netting in Data Streams. University of Luxembourg. 2007 (Supervisor).
  • Conny Uhde: Untersuchungen zur Autorenprofilierung in Texten mit Hilfe eines Clusteringansatzes. . University of Luxembourg and JW Goethe University. 2007. (Supervisor)
  • Patrick Duessel: Grid-Mining for Association Rules. University of Potsdam. 2005. (Co-Supervisor).
  • Jihua Xun: Evaluierung von Java-Parsern. JW Goethe-University Frankfurt/Main. 2004. (Co-Supervisor)
  • Sun Qin :  Integration manueller Kategorisierungsregeln in die automatische Kategorisierung im Text Mining (IBM Laboratory and Goethe-University Frankfurt/M. 2003 (Co-Supervisor).
  • Silvia Burst: Erweiterung eines Mining-Szenario fuer die Analyse von Marktdaten nach WpHG Paragraph 9. Goethe-University Frankfurt/M., IBM Laboratory, Boeblingen, and BAFin - Bundesamt fuer Finanzdienstleistungsaufsicht. 2003. (Co-Supervisor)
  • Henry Helff: Analyse des TV-Sehverhaltens fur Database Marketing. Goethe-University Frankfurt/M. Ogilvy & Mather. 1999. (Supervisor)
  • Sascha Slomka: Adaptive Analyse von Finanzdaten mit Regelsystemen. Gesellschaft fuer Zahlungssysteme. 1999. (Supervisor)
  • Anja Kreis: Anwendung von Data Mining im Wirkstoffdesign. Goethe-University Frankfurt/M. and Bayer, Leverkusen. 1998. (Supervisor)
  • Sascha Kaufmann: TS-SOM: Segmentierung mit selbstorganisierenden Karten am Beispiel von Telekommunikationsdaten. Goethe-University Frankfurt/M. and AT&T, Frankfurt/Main. 1998. (Supervisor)
  • Jochen Schmidt: Korrelationsanalyse von Musterclustern in Zeitreihendaten Goethe-University Frankfurt/M. and Deutsche Bundesbank, Frankfurt/Main. 1998. (Supervisor)
  • Michael Hopf: Anwendung von Data Mining/Knowledge Discovery im Naturstoff Screening (Goethe-University Frankfurt/M. and Aventis, Frankfurt/Main. 1998. (Supervisor)
  • Michaela Pfeifer: MP-KLASS: Ein interaktives Data Mining-Werkzeug zur Entscheidungsfindung innerhalb eines Krankenhausinformationssystems (Goethe-University Frankfurt/M. and SMS, Eschborn. 1997. (Supervisor)
  • Matthias Stemmler: STLearn: Ein Data Mining-Werkzeug zur Klassifikation von Daten mit Hilfe eines baumorientierten Lernverfahrens. Goethe-University Frankfurt/M. 1996. (Supervisor)
  • Isabel Scheiding: Modellierung von HyTime Architectural Forms als Grundlage fuer das Annotieren strukturierter Dokumente. Co-supervision. 1996. (Supervisor)
  • Joachim Birken: Entwicklung einer Programmierschnittstelle fuer repetierenden Betrieb auf einer assoziativen Datenflussarchitektur. Co-supervision. 1994. (Supervisor)

and many undergraduate students performing their Bachelor-Theses...



Last updated on: 30 Mar 2015

Data Science Projects

as an IT Architect with IBM R&D (1998 - 2001) and IBM Software Group (2001 - 2003) at Shanghai Stock Exchange (China; Finance), Arcadia (England; Retail), and many others.

Books

Book Chapters

  • P. Gentsch, U. Mueller, C. Schommer: Analytisches CRM in der Praxis: Vorgehensmodell, Praxisbeispiele und Erfolgsfaktoren. In Ahlert et al.: Customer Relationship Marketing im Handel - Strategien, Anwendungen, Erfahrungen. Springer Verlag, 2002.
  • C. Schommer, U. Mueller: Data Mining im eCommerce: ein Fallbeispiel zur erweiterten Logfile-Analyse In HMD - Praxis der Wirtschaftsinformatik. Band 06/2001 Business Intelligence, Vol. 222.
  • C. Schommer, H. Muster, R. Grund: Churn Prediction mit neuronalen Klassifikationsverfahren. In Neuronale Netze im Marketing-Management. Praxisorientierte Einfuehrung in modernes Data-Mining von Klaus-Peter Wiedmann und Frank Buckler. Gabler, zweite Auflage 2003, p 275. ISBN: 978-3409216739.

Industrial Papers

  • C. Schommer: Discovering Fraud Behaviour in Call Detailed Records. SecDay - 2010 Grande Region Security and Reliability Day. Saarbruecken 2010.
  • W. Mayer, C. Schommer: Mobile Patient Record Management through DB2 Everyplace In: Mobile Computing in Medicine, Springer Verlag, Heidelberg, 2002. Bibtex
  • C. Schommer, H.D. Wehle: From VSE/ESA data to Business Intelligence VSE Newsletter G225-4508-21, November 2000, published in VDI-Newsletter 2000.
  • T. Bollinger, C. Schommer, H. D. Wehle: Profitabler Einsatz von Data Mining im Customer Relationship am Beispiel der Investitionsgueterindustrie In: VDI-Berichte, Band 1381 Computational Intelligence - Neuronale Netze - Evolutionaere Algorithmen - Fuzzy Control im industriellen Einsatz. 2000.
  • T. Bollinger, C. Schommer, H.D. Wehle: Vorhersage von Lieferzeiten. IS Report - Zeitschrift fuer betriebswirtschaftliche Informationssysteme. 4. Jahrgang, 6/2000.
  • C. Schommer: Data Mining: die Suche nach versteckten Informationen im Data Warehouse Proceedings 7. Kolloquium Software - Entwicklungen, Methoden, Werkzeuge. Ostfildern, September 1997.

Tutorials

  • C. Schommer: IBM Intelligent Miner for Data. University of Potsdam, Dept. of Computer Science. May 30, 2002.
  • C. Schommer: Application of Data Mining in Medicine, AIME 2001, European Society for Artificial Intelligence in Medicine, Cascais, Portugal, 2001.
  • S. Bayerl, C. Schommer: Mining in eCommerce Systems, 12th Conference on Advanced Information Systems Engineering (CAiSE), 2000, Stockholm, Sweden



Last updated on: 02 Jul 2014

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2014

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See detailFinding Outliers in Satellite Patterns by Learning Pattern Identities
Bouleau, Fabien; Schommer, Christoph

in Filipe, Joacquim; Fred, Ana (Eds.) Proceedings "6th International Conference on Agents an Artificial Intelligence" (2014, January)

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See detailA Hidden Markov Model to detect relevance in nancial documents based on on/off topics
Kampas, Dimitrios; Schommer, Christoph; Sorger, Ulrich

in European Conference on Data Analysis (2014)

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2013

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See detailOutlier Identification in Spacecraft Monitoring Data using Curve Fitting Information
Bouleau, Fabien; Schommer, Christoph

in Proceedings ECDA (2013)

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See detailTowards Computational Models for a Long-term Interaction with an Artificial Conversational Companion
Danilava, Sviatlana; Busemann, Stephan; Schommer, Christoph; Ziegler, Gudrun

in Proceedings "5th International Conference on Agents an Artificial Intelligence" (2013)

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See detailWhy are you Silent? - Towards Responsiveness in Chatbots
Danilava, Sviatlana; Busemann, Stephan; Schommer, Christoph; Ziegler, Gudrun

in Avec le Temps! Time, Tempo, and Turns in Human-Computer Interaction". Workshop at CHI 2013, Paris, France (2013)

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See detailA Hybrid Classification System to find News that is relevant
Kampas, Dimitrios; Schommer, Christoph

in ECDA 2013 (2013)

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See detailDomain-driven news representation using conditional attribute-value pairs
Minev, Mihail; Schommer, Christoph

in Ferro, Nicola (Ed.) PROMISE Winter School 2013: Bridging between Information Retrieval and Databases (2013)

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See detailNews Representation with Multi-Word Features
Minev, Mihail; Schommer, Christoph

in Proceedings ECDA (2013, July)

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See detailA Prospect on How to Find the Polarity of a Financial News by Keeping an Objective Standpoint
Schommer, Christoph; Kampas, Dimitrios; Bersan, Roxana

in Proceedings ICAART 2013 (2013, February)

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See detailFeature Extraction and Representation for Economic Surveys
Schommer, Christoph; Minev, Mihail; Grammatikos, Theoharry; Schaefer, Ulrich

Poster (2013)

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2012

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See detailArtificial Conversational Companions A Requirements Analysis
Danilava, Sviatlana; Busemann, Stephan; Schommer, Christoph

in Proceedings "4th International Conference on Agents and Artificial Intelligence" (2012)

See detailLong-term Human-machine Interaction: Organisation and Adaptability of Talk-in-interaction
Danilava, Sviatlana; Schommer, Christoph; Ziegler, Gudrun

in CHIST-ERA Conference, Edinburgh, Scotland. (2012)

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See detailNews and stock markets: A survey on abnormal returns and prediction models
Minev, Mihail; Schommer, Christoph; Grammatikos, Theoharry

Report (2012)

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See detailOperations on Conversational Mind-Graphs
Poray, Jayanta; Schommer, Christoph

in Proceedings "4th International Conference on Agents and Artificial Intelligence" (2012)

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2010

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See detailTowards E-Conviviality in Web-Based Systems by considering the Wisdom of Crowds
Kaufmann, Sascha; Schommer, Christoph

in 2nd Conference on Agents and Artificial Intelligence (ICAART 2010) (2010)

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See detailManaging Conversational Streams with Explorative Mind-Maps
Poray, Jayanta; Schommer, Christoph

in Proceedings "AICCSA" (2010)

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See detailA Molecular Concept of Managing Data
Schommer, Christoph

in 2nd Conference on Agents and Artificial Intelligence (ICAART 2010) (2010)

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2009

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See detaile-Conviviality in Web Systems by the Wisdom of Crowds
Kaufmann, Sascha; Schommer, Christoph

in 4th ICITST09 - International Conference for Internet Technology and Secured Transactions (2009)

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See detailA Cognitive Mind-Map Framework to Foster Trust
Poray, Jayanta; Schommer, Christoph

in Proceedings "Fifth International Conference on Natural Computation, ICNC 2009" (2009)

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2008

See detailSymbolic Computing with Incremental Mind-maps to Manage and Mine Data Streams - Some Applications
Brucks, Claudine; Hilker, Michael; Schommer, Christoph; Wagner, Cynthia; Weires, Ralph

in 4th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy'08). ECAI 2008. (2008)

See detailService Oriented Architecture in Network Security - a novel Organisation in Security Systems
Hilker, Michael; Schommer, Christoph

in 3rd International Workshop on Theory of Computer Viruses (TCV 2008) (2008)

See detailSEREBIF - Search Engine Result Enhancement by Implicit Feedback
Kaufmann, Sascha; Schommer, Christoph; Weires, Ralph

in Proceedings WebIst (2008)

See detailSieving publishing communities in DBLP
Schommer, Christoph

in Proceedings "Third IEEE International Conference on Digital Information Management (ICDIM)" (2008)

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2007

See detailSemi-automated Content Zoning of Spam Emails
Brucks, Claudine; Hilker, Michael; Schommer, Christoph; Wagner, Cynthia; Weires, Ralph

in Lecture Notes on Business Information Processing. Web Information Systems and Technologies (2007)

See detailSemi-automated Content Zoning of Spam Emails
Brucks, Claudine; Hilker, Michael; Schommer, Christoph; Wagner, Cynthia; Weires, Ralph

in Proceedings "WebIst" (2007)

See detailSANA - Network Protection through artificial Immunity
Hilker, Michael; Schommer, Christoph

in 2nd International Workshop on Theory of Computer Viruses (TCV 2007) (2007)

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2006

See detailAGNOSCO - Identification of Infected Nodes with artificial Ant Colonies
Hilker, Michael; Schommer, Christoph

in 6th International Conference on Recent Advances in Soft Computing (RASC 2006) (2006)

See detailDescription of bad-signatures for Network Intrusion Detection
Hilker, Michael; Schommer, Christoph

in Proceedings of the 4th. Australasian Information Security Workshop (AISW-NetSec 2006) (2006)

See detailSANA - Security Analysis in Internet Traffic through Artificial Immune Systems
Hilker, Michael; Schommer, Christoph

in Technical Documentary Report. United States. Air Force. Systems Command. Electronic Systems Division (2006)

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2005

See detailA new queueing strategy for the Adversarial Queueing Theory
Hilker, Michael; Schommer, Christoph

in IPSI-2005 (2005)

See detailANIMA: Associate Memories for Categorical data Streams
Schommer, Christoph; Schroeder, Ben

in 3rd International Conference on Computer Science and its Applications (ICCSA-2005) (2005)

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2004

See detailIncremental Discovery of Association Rules with Dynamic Neural Cells
Schommer, Christoph

in Workshop on Symbolic Networks. ECAI 2004 (2004)

See detailAn incremental neural-based method to discover temporal skeletons in transactional data streams
Schommer, Christoph

in 5th Recent Advances in Soft Computing (RASC 2004) (2004)

See detailAn SQL-like interface to retrieve associative patterns from neural skeletons
Schommer, Christoph

in Proceedings 2004 International Conference on Advances in Intelligent Systems - Theory and Applications (2004)

See detailA methodology for pattern discovery in tennis rallys using the adaptive framework ANIMA
Schroeder, Ben; Hansen, Frank; Schommer, Christoph

in Workshop Knowledge Discovery in Data Streams. ECML/PKDD 2005 (2004)

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2003

See detailAnwendung von Data Mining
Schommer, Christoph

Book published by Shaker Publishing (2003)

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