A Greedy Approach to Concurrent Processing of Frequent Itemset Queries. - Pawel Boinski; Marek Wojciechowski 001; Maciej Zakrzewicz (DaWaK, 2006)

Improving Quality of Agglomerative Scheduling in Concurrent Processing of Frequent Itemset Queries. - Pawel Boinski; Konrad Jozwiak; Marek Wojciechowski 001; Maciej Zakrzewicz (Intelligent Information Systems, 2006)

Partitioning Approach to Collocation Pattern Mining in Limited Memory Environment Using Materialized iCPI-Trees. - Pawel Boinski; Maciej Zakrzewicz (ADBIS (2), 2012)

Collocation Pattern Mining in a Limited Memory Environment Using Materialized iCPI-Tree. - Pawel Boinski; Maciej Zakrzewicz (DaWaK, 2012)

GPU-Accelerated Collocation Pattern Discovery. - Witold Andrzejewski; Pawel Boinski (ADBIS, 2013)

Concurrent Execution of Data Mining Queries for Spatial Collocation Pattern Discovery. - Pawel Boinski; Maciej Zakrzewicz (DaWaK, 2013)

A Parallel Algorithm for Building iCPI-trees. - Witold Andrzejewski; Pawel Boinski (ADBIS, 2014)

Algorithms for spatial collocation pattern mining in a limited memory environment: a summary of results. - Pawel Boinski; Maciej Zakrzewicz (J. Intell. Inf. Syst., 2014)

Parallel GPU-based Plane-Sweep Algorithm for Construction of iCPI-Trees. - Witold Andrzejewski; Pawel Boinski (J. Database Manag., 2015)

Efficient spatial co-location pattern mining on multiple GPUs. - Witold Andrzejewski; Pawel Boinski (Expert Syst. Appl., 2018)

Parallel approach to incremental co-location pattern mining. - Witold Andrzejewski; Pawel Boinski (Inf. Sci., 2019)

Bounding Box Representation of Co-location Instances for L∞ Induced Distance Measure. - Witold Andrzejewski; Pawel Boinski (DaWaK, 2021)

On Customer Data Deduplication: Lessons Learned from a R&D Project in the Financial Sector. - Pawel Boinski; Mariusz Sienkiewicz; Bartosz Bebel; Robert Wrembel; Dariusz Galezowski; Waldemar Graniszewski (EDBT/ICDT Workshops, 2022)

On Tuning the Sorted Neighborhood Method for Record Comparisons in a Data Deduplication Pipeline - Industrial Experience Report. - Pawel Boinski; Witold Andrzejewski; Bartosz Bebel; Robert Wrembel (DEXA (1), 2023)

Text Similarity Measures in a Data Deduplication Pipeline for Customers Records. - Witold Andrzejewski; Bartosz Bebel; Pawel Boinski; Mariusz Sienkiewicz; Robert Wrembel (DOLAP, 2023)

On evaluating text similarity measures for customer data deduplication. - Pawel Boinski; Mariusz Sienkiewicz; Robert Wrembel; Bartosz Bebel; Witold Andrzejewski (SAC, 2023)

Bounding box representation of co-location instances for Chebyshev and Manhattan metrics. - Witold Andrzejewski; Pawel Boinski (Data Knowl. Eng., 2023)

Maximal Mixed-Drove Co-occurrence Patterns. - Witold Andrzejewski; Pawel Boinski (Inf. Syst. Frontiers, 2023)

On Customer Data Deduplication - Research vs. Industrial Perspective: - Lessons Learned from a R&D Project in the Financial Sector. - Witold Andrzejewski; Bartosz Bebel; Pawel Boinski; Robert Wrembel (ADBIS (Short Papers), 2024)

Statistical Modeling vs. Machine Learning for Deduplication of Customer Records. - Witold Andrzejewski; Bartosz Bebel; Pawel Boinski; Justyna Kowalewska; Agnieszka Marszalek; Robert Wrembel (EDBT/ICDT Workshops, 2024)

On tuning parameters guiding similarity computations in a data deduplication pipeline for customers records: Experience from a R&D project. - Witold Andrzejewski; Bartosz Bebel; Pawel Boinski; Robert Wrembel (Inf. Syst., 2024)

Co-location pattern mining using approximate Euclidean measure. - Witold Andrzejewski; Pawel Boinski (Inf. Sci., 2025)