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Semantic Preserved Generative Adversarial Network-Driven Enhanced Candidate Generation for Efficient and Scalable Frequent Itemset Mining in Large-Scale Data Analytics.

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Title: Semantic Preserved Generative Adversarial Network-Driven Enhanced Candidate Generation for Efficient and Scalable Frequent Itemset Mining in Large-Scale Data Analytics.
Authors: Rajalakshmi, E.1, profrajalakshmiphd@gmail.com, Nedunchelian, R.2
Source: International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems; May2026, Vol. 34 Issue 3, p281-306, 26p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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        Value: 10.1142/S0218488526500121
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      – Code: eng
        Text: English
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        PageCount: 26
        StartPage: 281
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      – TitleFull: Semantic Preserved Generative Adversarial Network-Driven Enhanced Candidate Generation for Efficient and Scalable Frequent Itemset Mining in Large-Scale Data Analytics.
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              Text: May2026
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              Y: 2026
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