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Analizying Factors to Increase the Influence of a Twitter User.

, , and . PAAMS (Special Sessions), volume 89 of Advances in Intelligent and Soft Computing, page 69-76. Springer, (2011)

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E-CIDIM: Ensemble of CIDIM Classifiers., , and . ADMA, volume 3584 of Lecture Notes in Computer Science, page 108-117. Springer, (2005)Hybridizing Ensemble Classifiers with Individual Classifiers., , and . ISDA, page 199-202. IEEE Computer Society, (2009)Online adaptive decision trees based on concentration inequalities., , , , , and . Knowl. Based Syst., (2016)Mining Web-based Educational Systems to Predict Student Learning Achievements., , , and . Int. J. Interact. Multim. Artif. Intell., 3 (2): 51-56 (2015)Feature extraction for multi-label learning in the domain of email classification., , , and . CIDM, page 30-36. IEEE, (2011)Online and Non-Parametric Drift Detection Methods Based on Hoeffding's Bounds., , , , , and . IEEE Trans. Knowl. Data Eng., 27 (3): 810-823 (2015)ML-CIDIM: Multiple Layers of Multiple Classifier Systems Based on CIDIM., , and . RSFDGrC (2), volume 3642 of Lecture Notes in Computer Science, page 138-146. Springer, (2005)Bridging the Gap Between the Least and the Most Influential Twitter Users., , and . ANT/SEIT, volume 19 of Procedia Computer Science, page 437-444. Elsevier, (2013)Induction of Decision Trees Using an Internal Control of Induction., , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 795-803. Springer, (2005)Improving the performance of an incremental algorithm driven by error margins., , , and . Intell. Data Anal., 12 (3): 305-318 (2008)