01010nam0 22002651i 450 SUN004170520140625025023.23800-7052-415-720060308d1997 |0engc50 baengGB|||| |||||Oscillator design and computer simulationRandall W. Rhea2nd edNew YorkLondon : McGraw-Hill, 1997, - XV, 303 p. 24 cm.USNew YorkSUNL000011621.38153321Rhea, Randall W.SUNV034474727348McGraw HillSUNV000135650ITSOL20181109RICASUN0041705UFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI INGEGNERIA05 CONS K I 092 05 2982 UFFICIO DI BIBLIOTECA DEI DIPARTIMENTI DI INGEGNERIAIT-CE01002982CONS K I 092caOscillator design and computer simulation1421817UNICAMPANIA04430nam 22008055 450 991029905270332120200702144746.03-319-06245-X10.1007/978-3-319-06245-7(CKB)3710000000107791(EBL)1731111(OCoLC)902412640(SSID)ssj0001237505(PQKBManifestationID)11706002(PQKBTitleCode)TC0001237505(PQKBWorkID)11250514(PQKB)11756855(MiAaPQ)EBC1731111(DE-He213)978-3-319-06245-7(PPN)178780901(EXLCZ)99371000000010779120140505d2014 u| 0engur|n|---|||||txtccrBig Data Related Technologies, Challenges and Future Prospects /by Min Chen, Shiwen Mao, Yin Zhang, Victor C.M. Leung1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (100 p.)SpringerBriefs in Computer Science,2191-5768Description based upon print version of record.3-319-06244-1 Includes bibliographical references at the end of each chapters.Introduction -- Related Technologies -- Big Data Generation and Acquisition -- Big Data Storage -- Big Data Analysis -- Big Data Applications -- Open Issues and Outlook.This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical challenges and reviews the latest advances. Technologies under discussion include cloud computing, Internet of Things, data centers, Hadoop and more. The authors also explore several representative applications of big data such as enterprise management, online social networks, healthcare and medical applications, collective intelligence and smart grids. This book concludes with a thoughtful discussion of possible research directions and development trends in the field. Big Data: Related Technologies, Challenges and Future Prospects is a concise yet thorough examination of this exciting area. It is designed for researchers and professionals interested in big data or related research. Advanced-level students in computer science and electrical engineering will also find this book useful.SpringerBriefs in Computer Science,2191-5768ComputersDatabase managementComputer networksApplication softwareData miningInformation Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Database Managementhttps://scigraph.springernature.com/ontologies/product-market-codes/I18024Computer Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13022Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Data Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Computers.Database management.Computer networks.Application software.Data mining.Information Systems and Communication Service.Database Management.Computer Communication Networks.Information Systems Applications (incl. Internet).Data Mining and Knowledge Discovery.006.312Chen Minauthttp://id.loc.gov/vocabulary/relators/aut875214Mao Shiwenauthttp://id.loc.gov/vocabulary/relators/autZhang Yinauthttp://id.loc.gov/vocabulary/relators/autLeung Victor C.Mauthttp://id.loc.gov/vocabulary/relators/autMiAaPQMiAaPQMiAaPQBOOK9910299052703321Big Data2276662UNINA