Trees or grids? Indexing moving objects in main memory D Šidlauskas, S Šaltenis, CW Christiansen, JM Johansen, D Šaulys Proceedings of the 17th ACM SIGSPATIAL international conference on Advances …, 2009 | 99 | 2009 |
Scalable top-k spatio-temporal term querying A Skovsgaard, D Sidlauskas, CS Jensen 2014 IEEE 30th International Conference on Data Engineering, 148-159, 2014 | 94 | 2014 |
Parallel main-memory indexing for moving-object query and update workloads D Šidlauskas, S Šaltenis, CS Jensen Proceedings of the 2012 ACM SIGMOD international conference on management of …, 2012 | 81 | 2012 |
Scalable parallelization of skyline computation for multi-core processors S Chester, D Šidlauskas, I Assent, KS Bøgh 2015 IEEE 31st International Conference on Data Engineering, 1083-1094, 2015 | 56 | 2015 |
Thread-level parallel indexing of update intensive moving-object workloads D Šidlauskas, KA Ross, CS Jensen, S Šaltenis Advances in Spatial and Temporal Databases: 12th International Symposium …, 2011 | 46 | 2011 |
Spatial Joins in Main Memory: Implementation Matters! D Šidlauskas, CS Jensen Proceedings of the VLDB Endowment 8 (1), 97-100, 2014 | 43 | 2014 |
Improving spatial data processing by clipping minimum bounding boxes D Sidlauskas, S Chester, ET Zacharatou, A Ailamaki 2018 IEEE 34th International Conference on Data Engineering (ICDE), 425-436, 2018 | 37 | 2018 |
Detecting defects with an interactive code review tool based on visualisation and machine learning S Axelsson, D Baca, R Feldt, D Sidlauskas, D Kacan 21st international conference on software engineering and knowledge …, 2009 | 37 | 2009 |
QUASII: query-aware spatial incremental index M Pavlovic, D Sidlauskas, T Heinis, A Ailamaki 21st International Conference on Extending Database Technology (EDBT), 2018 | 29 | 2018 |
Processing of extreme moving-object update and query workloads in main memory D Šidlauskas, S Šaltenis, CS Jensen The VLDB journal 23 (5), 817-841, 2014 | 23 | 2014 |
Efficient bundled spatial range queries ET Zacharatou, D Šidlauskas, F Tauheed, T Heinis, A Ailamaki Proceedings of the 27th ACM SIGSPATIAL international conference on advances …, 2019 | 18 | 2019 |
A clustering approach to the discovery of points of interest from geo-tagged microblog posts A Skovsgaard, CS Jensen 2014 IEEE 15th International Conference on Mobile Data Management 1, 178-188, 2014 | 18 | 2014 |
Space odyssey: efficient exploration of scientific data M Pavlovic, ET Zacharatou, D Sidlauskas, T Heinis, A Ailamaki Proceedings of the Third International Workshop on Exploratory Search in …, 2016 | 16 | 2016 |
Hashcube: A data structure for space-and query-efficient skycube compression KS Bøgh, S Chester, D Šidlauskas, I Assent Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 16 | 2014 |
Template skycube algorithms for heterogeneous parallelism on multicore and GPU architectures KS Bøgh, S Chester, D Šidlauskas, I Assent Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 15 | 2017 |
A comparison of the use of virtual versus physical snapshots for supporting update-intensive workloads D Šidlauskas, CS Jensen, S Šaltenis Proceedings of the Eighth International Workshop on Data Management on New …, 2012 | 14 | 2012 |
Lecture on multicores D Sidlauskas Danish National Research Foundation, Madalgo 12, 8, 2013 | 1 | 2013 |
Trees or grids? D Šidlauskas, S Šaltenis, CW Christiansen, JM Johansen, D Šaulys Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances …, 2009 | 1 | 2009 |
Information Visualization and Machine Learning Applied on Static Code Analysis D Kacan, D Sidlauskas | 1 | 2008 |
Processing Massive Update and Query Workloads in Main Memory D Sidlauskas | | 2012 |