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[null,"1.","Record Nr.",null,"UNINA9910219970403321"]
[null,null,"Autore",null,"Ramchand Rajeev"]
[null,null,"Titolo",null,"Adults newly exposed to the \"Know the signs\" campaign report greater gains in confidence to intervene with those who might be at risk for suicide that those unexposed to the campaign / / Rajeev Ramchand [and three others]"]
[null,null,"Pubbl/distr/stampa",null,"Santa Monica, California : , : RAND Corporation, , 2015"]
[null,null,"ISBN",null,"0-8330-9125-5"]
[null,null,"Descrizione fisica",null,"1 online resource (3 pages)"]
[null,null,"Disciplina",null,"616.858445"]
[null,null,"Soggetti",null,"Suicidal behavior - Treatment"]
[{"$nulls":4},"Suicide - Prevention - Evaluation"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,"2.","Record Nr.",null,"UNINA9910437873403321"]
[null,null,"Autore",null,"Xanthopoulos Petros"]
[null,null,"Titolo",null,"Robust data mining / / Petros Xanthopoulos, Panos M. Pardalos, Theodore B. Trafalis"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Springer, 2013"]
[null,null,"ISBN",null,"1-283-90917-0"]
[{"$nulls":4},"1-4419-9878-0"]
[null,null,"Edizione",null,"[1st ed. 2013.]"]
[null,null,"Descrizione fisica",null,"1 online resource (66 p.)"]
[null,null,"Collana",null,"SpringerBriefs in optimization, , 2190-8354"]
[null,null,"Disciplina",null,"006.312"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Robust optimization"]
[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","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"1. Introduction -- 2. Least Squares Problems -- 3. Principal Component Analysis -- 4. Linear Discriminant Analysis -- 5. Support Vector Machines -- 6. Conclusion."]
[null,null,null,"Sommario/riassunto","Data uncertainty is a concept closely related with most real life applications that involve data collection and interpretation. Examples can be found in data acquired with biomedical instruments or other experimental techniques. Integration of robust optimization in the existing data mining techniques aim to create new algorithms resilient to error and noise. This work encapsulates all the latest applications of robust optimization in data mining. This brief contains an overview of the rapidly growing field of robust data mining research field and presents  the most well known machine learning algorithms, their robust counterpart formulations and algorithms for attacking these problems. This brief will appeal to theoreticians and data miners working in this field."]