MSc Koninika Pal


Wissenschaftliche Mitarbeiterin


Office: 36/316

University of Kaiserslautern

Department of Computer Science

Database and Information System Group

P.O. Box 3049

67655 Kaiserslautern, Germany


Phone: +49 631 205 3326

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.


Research Interests

  • Algorithm and Indexing for Similarity Search
  • Query Processing on Big Dynamic Data
  • Mining Semantically Meaningful Rankings





  • Koninika Pal and Sebastian Michel: Learning Interesting Attributes for Automated Data Categorization. 30th International Conference on Scientific and Statistical Database Management (SSDBM). Bolzano-Bozen, Italy, July 9-11, 2018.


  • Koninika Pal and Sebastian Michel. Learning Interesting Categorical Attributes for Refined Data Exploration. CoRR, abs/1711.10933, 2017. link

  • Koninika Pal and Sebastian Michel. LSH-Based Probabilistic Pruning of Inverted Indices for Sets and Ranked Lists.
    20th International Workshop on the Web and Databases (WebDB 2017), Chicago, IL, USA, 2017, co-located with SIGMOD. pdf

  • Kiril Panev, Sebastian Michel, Evica Milchevski, Koninika Pal. Exploring Databases via Reverse Engineering Ranking Queries with PALEO. Datenbanksysteme für Business, Technologie und Web (BTW 2017), Stuttgart, Germany. Invited Demonstration.


  • Koninika Pal and Sebastian Michel. Efficient Similarity Search across Top-k Lists under the Kendall's Tau Distance. Conference on Scientific and Statistical Database Management (SSDBM),  Budapest, Hungary, 2016. pdf

  • Koninika Pal, Sebastian Michel. A Data Mining Approach to Choosing Categorical Attributes for Ranked Lists. 19th International Conference on Extending Database Technology (EDBT),  Bordeaux, France, March 2016. Poster track.

  • Fabian Reinartz, Koninika Pal, Sebastian Michel. Mining Entity Rankings. Datenbankspektrum, 2016. DOI:10.1007/s13222-015-0205-2 


  • Koninika Pal, Sebastian Michel. An LSH Index for Computing Kendall's Tau over Top-k Lists. 17th International workshop on the Web and Databases(WebDB 2014) co-located with ACM SIGMOD 2014, Utah, USA, 2014.



AG DBIS, TU Kaiserslautern

Datenschutzerklärung/Data Privacy Statement