Pawel Boinski

28 papers B 5C 4Misc 1Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generalized mining of mixed drove co-occurrence patterns.
Inf. Sci.
Witold Andrzejewski, Pawel Boinski
2026 — conf
On Discovering Provenance of Data Warehouse Objects Created by Select-Project Queries.
EDBT/ICDT Workshops
Witold Andrzejewski, Pawel Boinski, Robert Wrembel
2025 J jnl
Co-location pattern mining using approximate Euclidean measure.
Inf. Sci.
Witold Andrzejewski, Pawel Boinski
2025 B conf
Leveraging Machine Learning Techniques for Customer Data Deduplication - Hard-Won Lessons from a Real-World Project in the Financial Industry.
DaWaK
Robert Wrembel, Witold Andrzejewski, Pawel Boinski, Bartosz Bebel
2025 — conf
Leveraging machine learning techniques for discovering broken lineage links between database objects.
ISD
Pawel Boinski, Witold Andrzejewski, Milosz Grocholewski, Tobiasz Gruszczynski, Robert Wrembel
2025 — conf
On fixing broken lineage.
Provenance Week@SIGMOD
Witold Andrzejewski, Pawel Boinski, Robert Wrembel
2024 — conf
On Customer Data Deduplication - Research vs. Industrial Perspective: - Lessons Learned from a R&D Project in the Financial Sector.
ADBIS (Short Papers)
Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Robert Wrembel
2024 J jnl
On tuning parameters guiding similarity computations in a data deduplication pipeline for customers records: Experience from a R&D project.
Inf. Syst.
Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Robert Wrembel
2024 — conf
Statistical Modeling vs. Machine Learning for Deduplication of Customer Records.
EDBT/ICDT Workshops
Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Justyna Kowalewska, Agnieszka Marszalek, Robert Wrembel
2023 J jnl
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics.
Data Knowl. Eng.
Witold Andrzejewski, Pawel Boinski
2023 J jnl
Maximal Mixed-Drove Co-occurrence Patterns.
Inf. Syst. Frontiers
Witold Andrzejewski, Pawel Boinski
2023 — conf
On Tuning the Sorted Neighborhood Method for Record Comparisons in a Data Deduplication Pipeline - Industrial Experience Report.
DEXA (1)
Pawel Boinski, Witold Andrzejewski, Bartosz Bebel, Robert Wrembel
2023 Misc conf
On evaluating text similarity measures for customer data deduplication.
SAC
Pawel Boinski, Mariusz Sienkiewicz, Robert Wrembel, Bartosz Bebel, Witold Andrzejewski
2023 C conf
Text Similarity Measures in a Data Deduplication Pipeline for Customers Records.
DOLAP
Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Mariusz Sienkiewicz, Robert Wrembel
2022 — conf
On Customer Data Deduplication: Lessons Learned from a R&D Project in the Financial Sector.
EDBT/ICDT Workshops
Pawel Boinski, Mariusz Sienkiewicz, Bartosz Bebel, Robert Wrembel, Dariusz Galezowski, Waldemar Graniszewski
2021 B conf
Bounding Box Representation of Co-location Instances for L
DaWaK
Witold Andrzejewski, Pawel Boinski
2021 C conf
Maximal Mixed-Drove Co-Occurrence Patterns.
ADBIS
Witold Andrzejewski, Pawel Boinski
2019 J jnl
Parallel approach to incremental co-location pattern mining.
Inf. Sci.
Witold Andrzejewski, Pawel Boinski
2018 J jnl
Efficient spatial co-location pattern mining on multiple GPUs.
Expert Syst. Appl.
Witold Andrzejewski, Pawel Boinski
2015 J jnl
Parallel GPU-based Plane-Sweep Algorithm for Construction of iCPI-Trees.
J. Database Manag.
Witold Andrzejewski, Pawel Boinski
2014 C conf
A Parallel Algorithm for Building iCPI-trees.
ADBIS
Witold Andrzejewski, Pawel Boinski
2014 J jnl
Algorithms for spatial collocation pattern mining in a limited memory environment: a summary of results.
J. Intell. Inf. Syst.
Pawel Boinski, Maciej Zakrzewicz
2013 B conf
Concurrent Execution of Data Mining Queries for Spatial Collocation Pattern Discovery.
DaWaK
Pawel Boinski, Maciej Zakrzewicz
2013 C conf
GPU-Accelerated Collocation Pattern Discovery.
ADBIS
Witold Andrzejewski, Pawel Boinski
2012 B conf
Collocation Pattern Mining in a Limited Memory Environment Using Materialized iCPI-Tree.
DaWaK
Pawel Boinski, Maciej Zakrzewicz
2012 — conf
Partitioning Approach to Collocation Pattern Mining in Limited Memory Environment Using Materialized iCPI-Trees.
ADBIS (2)
Pawel Boinski, Maciej Zakrzewicz
2006 B conf
A Greedy Approach to Concurrent Processing of Frequent Itemset Queries.
DaWaK
Pawel Boinski, Marek Wojciechowski, Maciej Zakrzewicz
2006 — conf
Improving Quality of Agglomerative Scheduling in Concurrent Processing of Frequent Itemset Queries.
Intelligent Information Systems
Pawel Boinski, Konrad Jozwiak, Marek Wojciechowski, Maciej Zakrzewicz