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[null,"1.","Record Nr.",null,"UNISA996389883403316"]
[null,null,"Titolo",null,"The Whole booke of Psalmes [[electronic resource] ] : set forth and allowed to be sung in all churches, of all the people together, before and after morning and evening prayer, and after sermons, and moreover, in private houses for their godly solace and comfort, laying apart all ungodly songs and ballades which tend onely for the nourishing of vice and corrupting of youth / / collected into English meeter by Thomas Sternhold, John Hopkins, and others"]
[null,null,"Pubbl/distr/stampa",null,"[Cambridge?], : Printed by the Printers to the University of Cambridge, 1646"]
[null,null,"Descrizione fisica",null,"91, [5] p"]
[null,null,"Soggetti",null,"Psalters"]
[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","Includes index."]
[{"$nulls":4},"Reproduction of original in the British Library."]
[null,null,null,"Sommario/riassunto","eebo-0018"]
[null,"2.","Record Nr.",null,"UNINA9910299859703321"]
[null,null,"Autore",null,"Abbass Hussein A"]
[null,null,"Titolo",null,"Computational Red Teaming : Risk Analytics of Big-Data-to-Decisions Intelligent Systems / / by Hussein A. Abbass"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015"]
[null,null,"ISBN",null,"3-319-08281-7"]
[null,null,"Edizione",null,"[1st ed. 2015.]"]
[null,null,"Descrizione fisica",null,"1 online resource (239 p.)"]
[null,null,"Disciplina",null,"004.5"]
[{"$nulls":4},"006.3"]
[{"$nulls":4},"620"]
[{"$nulls":4},"621.382"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Telecommunication"]
[{"$nulls":4},"Information retrieval"]
[{"$nulls":4},"Computer architecture"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Communications Engineering, Networks"]
[{"$nulls":4},"Data Storage Representation"]
[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 and index."]
[null,null,"Nota di contenuto",null,"The Art of Red Teaming -- Analytics of Risk and Challenge -- Big–Data–to–Decisions Red Teaming Systems -- Case Studies on Computational Red Teaming -- The Way Forward."]
[null,null,null,"Sommario/riassunto","Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT).  The author describes an analytics environment that blends human reasoning and computational modeling to design risk-aware and evidence-based smart decision making systems. He presents the Shadow CRT Machine, which shadows the operations of an actual system to think with decision makers, challenge threats, and design remedies. This is the first book to generalize red teaming (RT) outside the military and security domains and it offers coverage of RT principles, practical and ethical guidelines. The author utilizes Gilbert’s principles for introducing a science. Simplicity: where the book follows a special style "]
[{"$nulls":4},"to make it accessible to a wide range of  readers. Coherence:  where only necessary elements from experimentation, optimization, simulation, data mining, big data, cognitive information processing, and system thinking are blended together systematically to present CRT as the science of Risk Analytics and Challenge Analytics. Utility: where the author draws on a wide range of examples, ranging from job interviews to Cyber operations, before presenting three case studies from air traffic control technologies, human behavior, and complex socio-technical systems involving real-time mining and integration of human brain data in the decision making environment.    • Presents first comprehensive treatment of Computational Red Teaming; • Provides balanced coverage of the topic from the perspectives of risk thinking and computational modeling; • Includes thorough coverage of the computational approach to the problem; • Links risk analytics and challenge analytics with the right set of computational tools to assess risk in complex, “big-data”situations."]