Introducing the closure structure and the GDPM algorithm for mining and understanding a tabular dataset

Autor: Tatiana Makhalova, Aleksey Buzmakov, Sergei O. Kuznetsov, Amedeo Napoli

Publikováno v: International Journal of Approximate Reasoning
International Journal of Approximate Reasoning, 2022, 145, pp.75-90. ⟨10.1016/j.ijar.2021.12.012⟩

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f85dbcd6211470408594fd3dbea81c0
https://doi.org/10.1016/j.ijar.2021.12.012

Mint: MDL-based approach for Mining INTeresting Numerical Pattern Sets

Autor: Sergei O. Kuznetsov, Tatiana Makhalova, Amedeo Napoli

Publikováno v: Data Mining and Knowledge Discovery
Data Mining and Knowledge Discovery, Springer, 2021, ⟨10.1007/s10618-021-00799-9⟩
Data Mining and Knowledge Discovery, 2022, 36 (1), pp.108--145. ⟨10.1007/s10618-021-00799-9⟩

Pattern mining is well established in data mining research, especially for mining binary datasets. Surprisingly, there is much less work about numerical pattern mining and this research area remains under-explored. In this paper we propose Mint, an e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b3c4bee95a91d86e217908fc9fa93a1
https://hal.archives-ouvertes.fr/hal-03437629

A Decentralized Approach to Validating Personal Data Using a Combination of Blockchains and Linked Data

Autor: Cristina-Iulia Bucur, Fiorela Ciroku, Tatiana Makhalova, Ettore Rizza, Thiviyan Thanapalasingam, Dalia Varanka, Michael Wolowyk, John Domingue

Publikováno v: Bucur, C I, Ciroku, F, Makhalova, T, Rizza, E, Thanapalasingam, T, Varanka, D, Wolowyk, M & Domingue, J 2019, A Decentralized Approach to Validating Personal Data Using a Combination of Blockchains and Linked Data . in Linked Open Data Validity : A Technical Report from ISWS 2018 . International Semantic Web Research Summer School (ISWS), Bertinoro, pp. 88-97 .
Vrije Universiteit Amsterdam
Linked Open Data Validity: A Technical Report from ISWS 2018, 88-97
STARTPAGE=88;ENDPAGE=97;TITLE=Linked Open Data Validity

The objective of this study is to define a model of personal data validationin the context of decentralized systems. The distributed nature of Linked Data,through DBpedia, is integrated with Blockchain data storage in a conceptualmodel. This model is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::51f4a81a6e031d81f1ef28fe22856b64
https://research.vu.nl/en/publications/116daff8-3627-4e1c-a848-5b4dbe85c83f

From-Below Boolean Matrix Factorization Algorithm Based on MDL

Autor: Tatiana Makhalova, Martin Trnecka

Publikováno v: Advances in Data Analysis and Classification
Advances in Data Analysis and Classification, Springer Verlag, 2020, ⟨10.1007/s11634-019-00383-6⟩
Advances in Data Analysis and Classification, 2020, ⟨10.1007/s11634-019-00383-6⟩

International audience; During the past few years Boolean matrix factorization (BMF) has become an important direction in data analysis. The minimum description length principle (MDL) was successfully adapted in BMF for the model order selection. Nev

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80cf398a33d3c6c0f4e82b693a2a7fa2
http://arxiv.org/abs/1901.09567

On Coupling FCA and MDL in Pattern Mining

Autor: Tatiana Makhalova, Sergei O. Kuznetsov, Amedeo Napoli

Publikováno v: Formal Concept Analysis ISBN: 9783030214616
ICFCA

Pattern Mining is a well-studied field in Data Mining and Machine Learning. The modern methods are based on dynamically updating models, among which MDL-based ones ensure high-quality pattern sets. Formal concepts also characterize patterns in a cond

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1830a62c656cca03b530f64757041d0a
https://doi.org/10.1007/978-3-030-21462-3_23