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Pawel Boinski
Pawel Boinski
Instytut Informatyki, Politechnika Poznańska
Verified email at cs.put.poznan.pl
Title
Cited by
Cited by
Year
Efficient spatial co-location pattern mining on multiple GPUs
W Andrzejewski, P Boinski
Expert Systems with Applications 93, 465-483, 2018
332018
Parallel approach to incremental co-location pattern mining
W Andrzejewski, P Boinski
Information Sciences 496, 485-505, 2019
232019
Parallel GPU-based plane-sweep algorithm for construction of iCPI-trees
W Andrzejewski, P Boinski
Journal of Database Management (JDM) 26 (3), 1-20, 2015
192015
GPU-accelerated collocation pattern discovery
W Andrzejewski, P Boinski
East European Conference on Advances in Databases and Information Systems …, 2013
152013
Collocation pattern mining in a limited memory environment using materialized icpi-tree
P Boinski, M Zakrzewicz
International Conference on Data Warehousing and Knowledge Discovery, 279-290, 2012
142012
Algorithms for spatial collocation pattern mining in a limited memory environment: a summary of results
P Boinski, M Zakrzewicz
Journal of Intelligent Information Systems 43, 147-182, 2014
92014
A parallel algorithm for building iCPI-trees
W Andrzejewski, P Boinski
East European Conference on Advances in Databases and Information Systems …, 2014
82014
On customer data deduplication: Lessons learned from a r&d project in the financial sector
P Boiński, M Sienkiewicz, B Bębel, R Wrembel, D Gałęzowski, ...
Proc. of the Workshops of the EDBT/ICDT 2022 Joint Conference (CEUR Workshop …, 2022
72022
A greedy approach to concurrent processing of frequent itemset queries
P Boinski, M Wojciechowski, M Zakrzewicz
International Conference on Data Warehousing and Knowledge Discovery, 292-301, 2006
52006
Partitioning Approach to Collocation Pattern Mining in Limited Memory Environment Using Materialized iCPI-Trees
P Boinski, M Zakrzewicz
Advances in Databases and Information Systems, 19-30, 2013
42013
Hash Join Based Spatial Collocation Pattern Mining
P Boiński, M Zakrzewicz
Foundations of Computing and Decision Sciences 36 (1), 3-15, 2011
42011
Maximal mixed-drove co-occurrence patterns
W Andrzejewski, P Boinski
Information Systems Frontiers 25 (5), 2005-2028, 2023
32023
Text similarity measures in a data deduplication pipeline for customers records
W Andrzejewski, B Bębel, P Boiński, M Sienkiewicz, R Wrembel
32023
Improving Quality of Agglomerative Scheduling in Concurrent Processing of Frequent Itemset Queries
P Boinski, K Jozwiak, M Wojciechowski, M Zakrzewicz
Intelligent Information Processing and Web Mining: Proceedings of the …, 2006
32006
Concurrent execution of data mining queries for spatial collocation pattern discovery
P Boinski, M Zakrzewicz
International Conference on Data Warehousing and Knowledge Discovery, 184-195, 2013
22013
Memory Constraints in the Collocation Pattern Mining
P Boinski, M Zakrzewicz
Tech. rep., Poznan University of Technology, 2012
22012
On Tuning the Sorted Neighborhood Method for Record Comparisons in a Data Deduplication Pipeline: Industrial Experience Report
P Boiński, W Andrzejewski, B Bębel, R Wrembel
International Conference on Database and Expert Systems Applications, 164-178, 2023
12023
Bounding box representation of co-location instances for Chebyshev and Manhattan metrics
W Andrzejewski, P Boinski
Data & Knowledge Engineering 145, 102153, 2023
12023
On evaluating text similarity measures for customer data deduplication
P Boinski, M Sienkiewicz, R Wrembel, B Bebel, W Andrzejewski
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 297-300, 2023
12023
Bounding Box Representation of Co-location Instances for Induced Distance Measure
W Andrzejewski, P Boinski
Big Data Analytics and Knowledge Discovery: 23rd International Conference …, 2021
12021
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