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[null,"1.","Record Nr.",null,"UNINA9910299207703321"]
[null,null,"Autore",null,"Bolón-Canedo Verónica"]
[null,null,"Titolo",null,"Feature Selection for High-Dimensional Data / / by Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"9783319218588"]
[{"$nulls":4},"3319218581"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (163 p.)"]
[null,null,"Collana",null,"Artificial Intelligence: Foundations, Theory, and Algorithms, , 2365-3051"]
[null,null,"Disciplina",null,"006.312"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Data mining"]
[{"$nulls":4},"Data structures (Computer science)"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Data Structures"]
[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 at the end of each chapters."]
[null,null,"Nota di contenuto",null,"Introduction to High-Dimensionality -- Foundations of Feature Selection -- Experimental Framework -- Critical Review of Feature Selection Methods -- Application of Feature Selection to Real Problems -- Emerging Challenges."]
[null,null,null,"Sommario/riassunto","This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.   The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. They then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and "]
[{"$nulls":4},"interesting challenges for researchers.   The book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining."]