Evica Milchevski

Affiliations:
  • University of Kaiserslautern


According to our database1, Evica Milchevski authored at least 12 papers between 2013 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2020
Distributed Similarity Joins over Top-K Rankings.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

The ML-Index: A Multidimensional, Learned Index for Point, Range, and Nearest-Neighbor Queries.
Proceedings of the 23rd International Conference on Extending Database Technology, 2020

2019
Similarity Search Algorithms over Top-k Rankings and Class-Constrained Objects.
PhD thesis, 2019

2018
Processing Class-Constraint K-NN Queries with MISP.
Proceedings of the 21st International Workshop on the Web and Databases, 2018

2016
Exploring Databases via Reverse Engineering Ranking Queries with PALEO.
Proc. VLDB Endow., 2016

Computing similar entity rankings via reverse engineering of top-k database queries.
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

Playing LEGO with JSON: Probabilistic joins over attribute-value fragments.
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

Quantifying Likelihood of Change through Update Propagation across Top-k Rankings.
Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015
ligDB - Online Query Processing Without (almost) any Storage.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

The Sweet Spot between Inverted Indices and Metric-Space Indexing for Top-K-List Similarity Search.
Proceedings of the 18th International Conference on Extending Database Technology, 2015

2013
Interesting event detection through hall of fame rankings.
Proceedings of the 3rd ACM SIGMOD Workshop on Databases and Social Networks, 2013

The essence of knowledge (bases) through entity rankings.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013


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