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[null,"1.","Record Nr.",null,"UNINA9910789912403321"]
[null,null,"Titolo",null,"Cost-sensitive machine learning / / edited by Balaji Krishnapuram, Shipeng Yu, Bharat Rao"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, Fla. : , : CRC Press, , 2012"]
[null,null,"ISBN",null,"0-429-10650-5"]
[{"$nulls":4},"1-4398-3928-X"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (316 p.)"]
[null,null,"Collana",null,"Chapman & Hall/CRC machine learning & pattern recognition series"]
[null,null,"Disciplina",null,"006.31"]
[null,null,"Soggetti",null,"Machine learning - Cost effectiveness"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"A Chapman & Hall book.\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"pt. 1. Theoretical underpinnings of cost-sensitive machine learning -- pt. 2. Cost-sensitive machine learning applications."]
[null,null,null,"Sommario/riassunto","In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/attributes for test dataCost of user feedback collectionCost of incorrect prediction/classificationCost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost o"]