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[null,null,"Titolo",null,"The human element of big data : issues, analytics, and performance / / edited by Geetam Tomar, Narendra S. Chaudhari, Robin Singh Bhadoria, and Ganesh Chandra Deka"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, Fla. : , : CRC Press, , [2017]"]
[{"$nulls":4},"©2017"]
[null,null,"ISBN",null,"1-315-35107-2"]
[{"$nulls":4},"1-315-36806-4"]
[{"$nulls":4},"1-4987-5418-X"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (364 pages)"]
[null,null,"Disciplina",null,"005.7"]
[null,null,"Soggetti",null,"Big data"]
[{"$nulls":4},"Data mining - Social aspects"]
[{"$nulls":4},"Quantitative research - Social aspects"]
[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 at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"Section I. Introduction to the human element of big data : definition, new trends, and methodologies -- Section II. Algorithms and applications of advancement in big data -- Section III. Future research and scope for the human element of big data -- Section IV. Case studies for the human element of big data : analytics and performance."]
[null,null,null,"Sommario/riassunto","The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data."]