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Mining Item Popularity for Recommender Systems.

, , , and . ADMA (2), volume 8347 of Lecture Notes in Computer Science, page 372-383. Springer, (2013)

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EDUA: An efficient algorithm for dynamic database mining., , and . Inf. Sci., 177 (13): 2756-2767 (2007)Feature selection for text classification: A review., , , and . Multimedia Tools Appl., 78 (3): 3797-3816 (2019)Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning., , , , and . ADMA, volume 10604 of Lecture Notes in Computer Science, page 273-286. Springer, (2017)Missing Value Imputation Based on Data Clustering., , , , and . Trans. Computational Science, (2008)Mining Item Popularity for Recommender Systems., , , and . ADMA (2), volume 8347 of Lecture Notes in Computer Science, page 372-383. Springer, (2013)Mixed-Norm Regression for Visual Classification., , and . ADMA (1), volume 8346 of Lecture Notes in Computer Science, page 265-276. Springer, (2013)A Decremental Algorithm for Maintaining Frequent Itemsets in Dynamic Databases., , , and . DaWaK, volume 3589 of Lecture Notes in Computer Science, page 305-314. Springer, (2005)Estimating confidence intervals for structural differences between contrast groups with missing data., , , , and . Expert Syst. Appl., 36 (3): 6431-6438 (2009)Identifying Follow-Correlation Itemset-Pairs., , , and . ICDM, page 765-774. IEEE Computer Society, (2006)Cost-Sensitive Imputing Missing Values with Ordering., , , and . AAAI, page 1922-1923. AAAI Press, (2007)