Kaustubh Beedkar
Kaustubh Beedkar
Verified email at tu-berlin.de - Homepage
TitleCited byYear
LASH: Large-scale sequence mining with hierarchies
K Beedkar, R Gemulla
Proceedings of the 2015 ACM SIGMOD International Conference on Management of …, 2015
212015
Fully parallel inference in markov logic networks
K Beedkar, LD Corro, R Gemulla
Datenbanksysteme für Business, Technologie und Web (BTW) 2026, 2013
202013
Closing the gap: Sequence mining at scale
K Beedkar, K Berberich, R Gemulla, I Miliaraki
ACM Transactions on Database Systems (TODS) 40 (2), 1-44, 2015
152015
DESQ: Frequent sequence mining with subsequence constraints
K Beedkar, R Gemulla
2016 IEEE 16th International Conference on Data Mining (ICDM), 793-798, 2016
82016
DESQ: Frequent Sequence Mining with Subsequence Constraints
K Beedkar, R Gemulla
IEEE 16th International Conference on Data Mining (ICDM), 793-798, 2016
82016
Resense: Transparent record and replay of sensor data in the Internet of Things
D Giouroukis, J Hülsmann, J Von Bleichert, M Geldenhuys, T Stullich, ...
32019
A unified framework for frequent sequence mining with subsequence constraints
K Beedkar, R Gemulla, W Martens
ACM Transactions on Database Systems (TODS) 44 (3), 1-42, 2019
22019
Accelerometer based gesture recognition for real time applications
K Beedkar, D Shah
Real Time Systems, Project description, 2008
22008
Methods for frequent sequence mining with subsequence constraints
K Beedkar
12016
A Novel Dynamic Rate Based System for Matching and Retrieval in Images and Video Sequences
A Jain, A Sampath, K Beedkar
2008 International Conference on Computer Science and Software Engineering 4 …, 2008
12008
The DESQ Framework for Declarative and Scalable Frequent Sequence Mining
K Beedkar, R Gemulla, A Renz-Wieland
INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik–Informatik für …, 2019
2019
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Articles 1–11