APA (7th ed.) Citation

Rajalakshmi, E., & Nedunchelian, R. (2026). Semantic Preserved Generative Adversarial Network-Driven Enhanced Candidate Generation for Efficient and Scalable Frequent Itemset Mining in Large-Scale Data Analytics. International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, 34(3), 281. https://doi.org/10.1142/S0218488526500121

Chicago Style (17th ed.) Citation

Rajalakshmi, E., and R. Nedunchelian. "Semantic Preserved Generative Adversarial Network-Driven Enhanced Candidate Generation for Efficient and Scalable Frequent Itemset Mining in Large-Scale Data Analytics." International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems 34, no. 3 (2026): 281. https://doi.org/10.1142/S0218488526500121.

MLA (9th ed.) Citation

Rajalakshmi, E., and R. Nedunchelian. "Semantic Preserved Generative Adversarial Network-Driven Enhanced Candidate Generation for Efficient and Scalable Frequent Itemset Mining in Large-Scale Data Analytics." International Journal of Uncertainty, Fuzziness & Knowledge-Based Systems, vol. 34, no. 3, 2026, p. 281, https://doi.org/10.1142/S0218488526500121.