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Piotr Honko
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2020 – today
- 2020
- [j16]Mateusz Choromanski
, Tomasz Grzes
Breadth search strategies for finding minimal reducts: towards hardware implementation. Neural Comput. Appl. 32(18): 14801-14816 (2020)
2010 – 2019
- 2019
- [j15]Piotr Honko
Recent granular computing frameworks for mining relational data. Artif. Intell. Rev. 52(4): 2705-2742 (2019) - [j14]Piotr Honko
Binary classification rule generation from decomposed data. Int. J. Intell. Syst. 34(12): 3123-3138 (2019) - [c7]Mateusz Choromanski
Two FPGA Devices in the Problem of Finding Minimal Reducts. CISIM 2019: 410-420 - 2018
- [j13]Piotr Honko
Horizontal decomposition of data table for finding one reduct. Int. J. Gen. Syst. 47(3): 208-243 (2018) - 2017
- [b1]Piotr Honko:
Granular-Relational Data Mining - How to Mine Relational Data in the Paradigm of Granular Computing? Studies in Computational Intelligence 702, Springer 2017, ISBN 978-3-319-52750-5, pp. 1-116 - [j12]Piotr Honko
Properties of a Granular Computing Framework for Mining Relational Data. Int. J. Intell. Syst. 32(3): 227-248 (2017) - [c6]Piotr Honko
Binary Tree Based Deterministic Positive Selection Approach to Network Security. FDSE 2017: 368-380 - 2016
- [j11]Piotr Honko
Compound approximation spaces for relational data. Int. J. Approx. Reason. 71: 89-111 (2016) - [j10]Piotr Honko
Attribute reduction: a horizontal data decomposition approach. Soft Comput. 20(3): 951-966 (2016) - [c5]Piotr Honko
Representatives of Rough Regions for Generating Classification Rules. CISIM 2016: 79-90 - 2015
- [j9]Piotr Honko
Relation-based granules to represent relational data and patterns. Appl. Soft Comput. 37: 467-478 (2015) - [j8]Piotr Honko
Description Languages for Relational Information Granules. Fundam. Informaticae 137(3): 323-340 (2015) - [c4]Piotr Honko
Scalability of Data Decomposition Based Algorithms: Attribute Reduction Problem. PReMI 2015: 387-396 - [c3]Piotr Honko
Improving Indiscernibility Matrix Based Approach for Attribute Reduction. RSKT 2015: 119-128 - 2014
- [j7]Piotr Honko
Upgrading a Granular Computing Based Data Mining Framework to a Relational Case. Int. J. Intell. Syst. 29(5): 407-438 (2014) - 2013
- [j6]Piotr Honko
Association discovery from relational data via granular computing. Inf. Sci. 234: 136-149 (2013) - [j5]Piotr Honko
Granular computing for relational data classification. J. Intell. Inf. Syst. 41(2): 187-210 (2013) - 2012
- [j4]Piotr Honko
Relational pattern updating. Inf. Sci. 189: 208-218 (2012) - [c2]Piotr Honko
Rough-Granular Computing Based Relational Data Mining. IPMU (1) 2012: 290-299 - 2010
- [j3]Piotr Honko
Similarity-Based Classification in Relational Databases. Fundam. Informaticae 101(3): 187-213 (2010)
2000 – 2009
- 2008
- [j2]Piotr Honko
Description and classification of complex structured objects by applying similarity measures. Int. J. Approx. Reason. 49(3): 539-554 (2008) - 2007
- [c1]Piotr Honko:
Classification of Complex Structured Objects on the Base of Similarity Degrees. RSEISP 2007: 553-563 - 2004
- [j1]Jaroslaw Stepaniuk, Piotr Honko:
Learning First-Order Rules: A Rough Set Approach. Fundam. Informaticae 61(2): 139-157 (2004)
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