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Novelty detection algorithm for data streams multi-class problems
2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing - SAC '13
Novelty detection has been presented in the literature as one-class problem. In this case, new examples are classified as either belonging to the target class or not. The examples not explained by the model are detected as belonging to a class named novelty. However, novelty detection is much more general, especially in data streams scenarios, where the number of classes might be unknown before learning and new classes can appear any time. In this case, the novelty concept is composed by
doi:10.1145/2480362.2480515
dblp:conf/sac/FariaGC13
fatcat:au23wrd7mbatxaujtfwn2swb44