Approximate approach for frequent itemsets mining on massive distributed data beyond computing capacity.

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Title: Approximate approach for frequent itemsets mining on massive distributed data beyond computing capacity.
Authors: Ngueilbaye, Alladoumbaye1,2,3, angueilbaye@szu.cn, Ratmir, Sibagatullin2,3, 2071276004@email.szu.edu.cn, Cai, Yongda4, caiyongda@gpnu.edu.cn, Mahmud, Mohammad Sultan3,5, sultan@sztu.edu.cn, Sun, Xudong1,6, sunxudong2016@email.szu.edu.cn, Nechesov, Andrey7, a.nechesov@nsu.ru, Goncharov, Sergey S.8, S.S.Goncharov@math.nsc.ru, Huang, Joshua Zhexue2,3,9, zx.huang@szu.edu.cn
Source: Expert Systems with Applications; Jul2026, Vol. 318, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 193682031
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.eswa.2026.132043
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      – Code: eng
        Text: English
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      – TitleFull: Approximate approach for frequent itemsets mining on massive distributed data beyond computing capacity.
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            NameFull: Ngueilbaye, Alladoumbaye
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            NameFull: Cai, Yongda
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            NameFull: Mahmud, Mohammad Sultan
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            NameFull: Sun, Xudong
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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              Value: 318
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            – TitleFull: Expert Systems with Applications
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