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Effective scheduling strategies for boosting performance on rule-based spam filtering frameworks.

, , , and . J. Syst. Softw., 86 (12): 3151-3161 (2013)

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Improving the drug discovery process by using multiple classifier systems., , , , and . Expert Syst. Appl., (2019)Wirebrush4SPAM: a novel framework for improving efficiency on spam filtering services., , , and . Softw. Pract. Exp., 43 (11): 1299-1318 (2013)Analyzing the Impact of Unbalanced Data on Web Spam Classification., , , , , and . DCAI, volume 373 of Advances in Intelligent Systems and Computing, page 243-250. Springer, (2015)Model for optimising the execution of anti-spam filters.. Inteligencia Artif., 19 (58): 45-48 (2016)Concept drift in e-mail datasets: An empirical study with practical implications., , and . Inf. Sci., (2018)Using new scheduling heuristics based on resource consumption information for increasing throughput on rule-based spam filtering systems., , , and . Softw. Pract. Exp., 46 (8): 1035-1051 (2016)Improving Pipelining Tools for Pre-processing Data., , , , , and . Int. J. Interact. Multim. Artif. Intell., 7 (4): 214 (2022)An ontology knowledge inspection methodology for quality assessment and continuous improvement., , , and . Data Knowl. Eng., (2021)Boosting Accuracy of Classical Machine Learning Antispam Classifiers in Real Scenarios by Applying Rough Set Theory., , , and . Sci. Program., (2016)The bdpar Package: Big Data Pipelining Architecture for R., , , and . R J., 13 (1): 130 (2021)