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[null,"1.","Record Nr.",null,"UNINA9911004815803321"]
[null,null,"Autore",null,"Raj Pethuru"]
[null,null,"Titolo",null,"Streaming Analytics : Concepts, Architectures, Platforms, Use Cases and Applications"]
[null,null,"Pubbl/distr/stampa",null,"Piraí : , : Institution of Engineering & Technology, , 2022"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"9781523153381"]
[{"$nulls":4},"1523153385"]
[{"$nulls":4},"9781839534171"]
[{"$nulls":4},"1839534176"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (625 pages)"]
[null,null,"Collana",null,"Computing and Networks"]
[null,null,"Disciplina",null,"004.3"]
[null,null,"Soggetti",null,"Real-time data processing"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1: Streaming data processing - an introductionChapter 2: Event processing platforms and streaming databases for event-driven enterprisesChapter 3: A survey on supervised and unsupervised algorithmic techniques to handle streaming Big DataChapter 4: Sentiment analysis on streaming data using parallel computingChapter 5: Fog and edge computing paradigms for emergency vehicle movement in smart cityChapter 6: Real-time stream processing on IoT data for real-world use casesChapter 7: Rapid response system for road accidents using streaming sensor data analyticsChapter 8: Applying streaming analytics methods on edge and fog device clustersChapter 9: Delineating IoT streaming analyticsChapter 10: Describing the IoT data analytics methods and platformsChapter 11: Detection of anomaly over streams using isolation forestChapter 12: Detection of anomaly over streams using big data technologiesChapter 13: Scalable and real-time prediction on streaming data - the role of Kafka and streaming frameworksChapter 14: Object detection techniques for real-time applicationsChapter 15: EdgeIoTics: leveraging edge cloud computing and IoT for intelligent monitoring of logistics container volumesChapter 16: A hybrid streaming analytic model for detection and classification of malware using Artificial Intelligence techniquesChapter 17: Performing streaming analytics on tweets (text and images) dataChapter 18: Machine learning (ML) on the Internet of "]
[{"$nulls":4},"Things (IoT) streaming data toward real-time insights."]
[null,null,null,"Sommario/riassunto","In this book, the authors articulate the challenges associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases."]
[null,"2.","Record Nr.",null,"UNINA9911009259903321"]
[null,null,"Autore",null,"Carnap Rudolf"]
[null,null,"Titolo",null,"Two Essays on Entropy / / Rudolf Carnap; Abner Shimony"]
[null,null,"Pubbl/distr/stampa",null,"Berkeley, CA : , : University of California Press, , [1977]"]
[{"$nulls":4},"©1977"]
[null,null,"ISBN",null,"9780520324701"]
[{"$nulls":4},"0520324706"]
[null,null,"Edizione",null,"[Reprint 2019]"]
[null,null,"Descrizione fisica",null,"1 online resource (146 p.)"]
[null,null,"Disciplina",null,"536/.73"]
[null,null,"Soggetti",null,"NON-CLASSIFIABLE"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Frontmatter -- Contents -- Introduction -- 1. The Aim of the Investigations -- Essay I: A Critical Examination of the Statistical Concept of Entropy in Classical Physics -- Essay II: An Abstract Concept of Entropy and Its use in Inductive Logic"]
[null,null,null,"Sommario/riassunto","This title is part of UC Press's Voices Revived program, which commemorates University of California Press's mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1977."]