Papers

  • SIDE: A Web App for Interactive Visual Data Exploration with Subjective Feedback
    Jefrey Lijffijt, Bo Kang, Kai Puolamäki, and Tijl De Bie
    In ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA), 2016.
    paper
  • Interactive Visual Data Exploration with Subjective Feedback
    Kai Puolamäki, Bo Kang, Jefrey Lijffijt, and Tijl De Bie
    In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), 2016.
    paper
  • A Tool for Subjective and Interactive Visual Data Exploration
    Bo Kang, Kai Puolamäki, Jefrey Lijffijt, and Tijl De Bie
    In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), 2016.
    paper   demo
  • Subjectively Interesting Component Analysis: Data Projections that Contrast with Prior Expectations
    Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodríguez, and Tijl De Bie
    In ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016.
    paper   poster   video
  • Informative Data Projections: A Framework and Two Examples
    Tijl De Bie, Jefrey Lijffijt, Raúl Santos-Rodríguez, and Bo Kang
    In European Symposium on Artificial Neural Networks (ESANN), 2016.
    preprint
  • P-N-RMiner: A Generic Framework for Mining Interesting Structured Relational Patterns
    Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, and Tijl De Bie
    In International Journal of Data Science and Analytics, 2016.
    paper
  • P-N-RMiner: A Generic Framework for Mining Interesting Structured Relational Patterns
    Jefrey Lijffijt, Eirini Spyropoulou, Bo Kang, and Tijl De Bie
    In IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2015.
    paper
  • Creedo―Scalable and Repeatable Extrinsic Evaluation for Pattern Discovery Systems by Online User Studies
    Mario Boley, Maike Krause-Traudes, Bo Kang, and Björn Jacobs
    In ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA), 2015.
    paper   project
  • One Click Mining―Interactive Local Pattern Discovery through Implicit Preference and Performance Learning
    Mario Boley, Michael Mampaey, Bo Kang, Pavel Tokmakov, and Stefan Wrobel
    In ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA), 2013.
    paper

Software

  • SIDE: A Tool for Subjective and Interactive Visual Data Exploration   demo
  • SICA: Subjectively Interesting Component Analysis   code

Working Experience

  • Research Assistant, Ghent University, 2015 - now.
  • Research Assistant, University of Bristol, Summer 2015.
  • Research Assistant, Fraunhofer IAIS, 2012 - 2015.
  • Research Assistant, University of Bonn, Winter 2012.

Teaching

Presentations and Posters

  • A graph based approach for formalizing subjective interestingness of data projections
    Bo Kang, Jefrey Lijffijt, Raúl Santos-Rodríguez and Tijl De Bie
    In International Symposium on Intelligent Data Analysis (IDA), 2015.
    poster
  • One Click Mining: Interactive Local Pattern Discovery through Implicit Preference and Performance Learning
    Bo Kang
    In Advanced Database Research and Modeling Group, University of Antwerp, Belgium, 2013.
    slides

Community Services

  • Program committee member, European Conference of Machine Learning and Principles and Practices of Knowledge Discovery in Databases (ECML-PKDD), 2016, 2017.
  • Program committee member, Computer Science Conference for University of Bonn Students (CSCUBS), 2014, 2015.