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
Publications
2018
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.
2017
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. pdfKiril 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.
2016
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
2014
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.