Pawel Boinski

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 12

Top Topics

Kullback Leibler

Statistical Model

Similarity Measure

Top Venues

EDBT/ICDT Workshops

J. Database Manag.

Publications

Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Justyna Kowalewska, Agnieszka Marszalek, Robert Wrembel
Statistical Modeling vs. Machine Learning for Deduplication of Customer Records. EDBT/ICDT Workshops (2024)
Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Robert Wrembel
On tuning parameters guiding similarity computations in a data deduplication pipeline for customers records: Experience from a R&D project. Inf. Syst. 121 (2024)
Witold Andrzejewski, Bartosz Bebel, Pawel Boinski, Mariusz Sienkiewicz, Robert Wrembel
Text Similarity Measures in a Data Deduplication Pipeline for Customers Records. DOLAP (2023)
Witold Andrzejewski, Pawel Boinski
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics. Data Knowl. Eng. 145 (2023)
Pawel Boinski, Mariusz Sienkiewicz, Robert Wrembel, Bartosz Bebel, Witold Andrzejewski
On evaluating text similarity measures for customer data deduplication. SAC (2023)
Witold Andrzejewski, Pawel Boinski
Maximal Mixed-Drove Co-occurrence Patterns. Inf. Syst. Frontiers 25 (5) (2023)
Pawel Boinski, Witold Andrzejewski, Bartosz Bebel, Robert Wrembel
On Tuning the Sorted Neighborhood Method for Record Comparisons in a Data Deduplication Pipeline - Industrial Experience Report. DEXA (1) (2023)
Pawel Boinski, Mariusz Sienkiewicz, Bartosz Bebel, Robert Wrembel, Dariusz Galezowski, Waldemar Graniszewski
On Customer Data Deduplication: Lessons Learned from a R&D Project in the Financial Sector. EDBT/ICDT Workshops (2022)
Witold Andrzejewski, Pawel Boinski
Maximal Mixed-Drove Co-Occurrence Patterns. ADBIS (2021)
Witold Andrzejewski, Pawel Boinski
Induced Distance Measure. DaWaK (2021)
Witold Andrzejewski, Pawel Boinski
Parallel approach to incremental co-location pattern mining. Inf. Sci. 496 (2019)
Witold Andrzejewski, Pawel Boinski
Efficient spatial co-location pattern mining on multiple GPUs. Expert Syst. Appl. 93 (2018)
Witold Andrzejewski, Pawel Boinski
Parallel GPU-based Plane-Sweep Algorithm for Construction of iCPI-Trees. J. Database Manag. 26 (3) (2015)
Witold Andrzejewski, Pawel Boinski
A Parallel Algorithm for Building iCPI-trees. ADBIS (2014)
Pawel Boinski, Maciej Zakrzewicz
Algorithms for spatial collocation pattern mining in a limited memory environment: a summary of results. J. Intell. Inf. Syst. 43 (1) (2014)
Pawel Boinski, Maciej Zakrzewicz
Concurrent Execution of Data Mining Queries for Spatial Collocation Pattern Discovery. DaWaK (2013)
Witold Andrzejewski, Pawel Boinski
GPU-Accelerated Collocation Pattern Discovery. ADBIS (2013)
Pawel Boinski, Maciej Zakrzewicz
Collocation Pattern Mining in a Limited Memory Environment Using Materialized iCPI-Tree. DaWaK (2012)
Pawel Boinski, Maciej Zakrzewicz
Partitioning Approach to Collocation Pattern Mining in Limited Memory Environment Using Materialized iCPI-Trees. ADBIS (2) (2012)
Pawel Boinski, Marek Wojciechowski, Maciej Zakrzewicz
A Greedy Approach to Concurrent Processing of Frequent Itemset Queries. DaWaK (2006)
Pawel Boinski, Konrad Jozwiak, Marek Wojciechowski, Maciej Zakrzewicz
Improving Quality of Agglomerative Scheduling in Concurrent Processing of Frequent Itemset Queries. Intelligent Information Systems (2006)