Indexing of Sequences of Sets for Efficient Exact and Similar Subsequence Matching. - Witold Andrzejewski; Tadeusz Morzy; Mikolaj Morzy (ISCIS, 2005)

AISS: An Index for Non-timestamped Set Subsequence Queries. - Witold Andrzejewski; Tadeusz Morzy (DaWaK, 2006)

How to improve efficiency of analysis of sequential data? - Witold Andrzejewski; Zbyszko Królikowski; Tadeusz Morzy (Control. Cybern., 2009)

Predicting access to materialized methods by means of hidden Markov model. - Mariusz Masewicz; Witold Andrzejewski; Robert Wrembel; Zbyszko Królikowski (Control. Cybern., 2009)

GPU-WAH: Applying GPUs to Compressing Bitmap Indexes with Word Aligned Hybrid. - Witold Andrzejewski; Robert Wrembel (DEXA (2), 2010)

FOCUS: An Index FOr ContinuoUS Subsequence Pattern Queries. - Witold Andrzejewski; Bartosz Bebel (ADBIS, 2012)

New Trends in Databases and Information Systems: Contributions from ADBIS 2013. - Yamine Aït Ameur; Witold Andrzejewski; Ladjel Bellatreche; Barbara Catania; Tania Cerquitelli; Silvia Chiusano; Matteo Golfarelli; Giovanna Guerrini; Krzysztof Kaczmarski; Mirko Kämpf; Alfons Kemper; Tobias Lauer; et al. (ADBIS (2), 2013)

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

Graphics processing units in acceleration of bandwidth selection for kernel density estimation. - Witold Andrzejewski; Artur Gramacki; Jaroslaw Gramacki (Int. J. Appl. Math. Comput. Sci., 2013)

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

Density Estimations for Approximate Query Processing on SIMD Architectures. - Witold Andrzejewski; Artur Gramacki; Jaroslaw Gramacki (CoRR, 2015)

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

Searching for Patterns in Sequential Data: Functionality and Performance Assessment of Commercial and Open-Source Systems. - Witold Andrzejewski; Bartosz Bebel; Szymon Klosowski; Bartosz Lukaszewski; Robert Wrembel; Gastón Bakkalian (ER Workshops, 2016)

Selected Topics on Systems Modeling and Natural Language Processing: Editorial Introduction to the Issue 7 of CSIMQ. - Witold Andrzejewski; Selma Khouri (Complex Syst. Informatics Model. Q., 2016)

Two-Echelon System Stochastic Optimization with R and CUDA. - Witold Andrzejewski; Maciej Drozdowski; Gang Mu; Yong-Chao Sun (PPAM (1), 2017)

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)

Quality Versus Speed in Energy Demand Prediction - Experience Report from an R &D project. - Witold Andrzejewski; Jedrzej Potoniec; Maciej Drozdowski; Jerzy Stefanowski; Robert Wrembel; Pawel Stapf (DEXA (1), 2022)

Quality versus speed in energy demand prediction for district heating systems. - Witold Andrzejewski; Jedrzej Potoniec; Maciej Drozdowski; Jerzy Stefanowski; Robert Wrembel; Pawel Stapf (CoRR, 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)

Users' processing of online marketplace listings for high and low involvement goods. - Matthew Gorton; Ewelina Marek-Andrzejewska; Gu Pang; Witold Andrzejewski; Yong Lin (Electron. Commer. Res. Appl., 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)

Leveraging Machine Learning Techniques for Customer Data Deduplication - Hard-Won Lessons from a Real-World Project in the Financial Industry. - Robert Wrembel; Witold Andrzejewski; Pawel Boinski; Bartosz Bebel (DaWaK, 2025)

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