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[null,"1.","Record Nr.",null,"UNINA9910457089003321"]
[null,null,"Autore",null,"Novak Pavel"]
[null,null,"Titolo",null,"Hydraulic Modelling: An Introduction : Principles, Methods and Applications / / by Pavel Novak, Vincent Guinot, Alan Jeffrey and Dominic E. Reeve"]
[null,null,"Pubbl/distr/stampa",null,"Boca Raton, FL : , : CRC Press, , [2018]"]
[{"$nulls":4},"©2010"]
[null,null,"ISBN",null,"1-351-98893-X"]
[{"$nulls":4},"1-315-27249-0"]
[{"$nulls":4},"1-282-57591-0"]
[{"$nulls":4},"9786612575914"]
[{"$nulls":4},"0-203-86162-0"]
[null,null,"Edizione",null,"[First edition.]"]
[null,null,"Descrizione fisica",null,"1 online resource (614 p.)"]
[null,null,"Disciplina",null,"627.0285"]
[{"$nulls":4},"627.04"]
[null,null,"Soggetti",null,"Hydraulic engineering - Data processing"]
[{"$nulls":4},"Hydrodynamics - Mathematics"]
[{"$nulls":4},"Hydraulic structures - Mathematical models"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Book Cover; Title; Copyright; Contents; Preface; Acknowledgements; Main symbols; Chapter 1 Introduction; Chapter 2 Theoretical background - mathematics; Appendix; Chapter 3 Numerical techniques used in hydraulic modelling; Chapter 4 Theoretical background - hydraulics; Chapter 5 Development of physical models; Chapter 6 Tools and procedures; Chapter 7 Modelling of open-channel systems; Chapter 8 Environmental modelling of open-channel systems; Chapter 9 Modelling of closed-conduit flow; Chapter 10 Modelling of urban drainage systems; Chapter 11 Modelling of estuaries"]
[{"$nulls":4},"Chapter 12 Modelling of coastal and nearshore structures and processesChapter 13 Modelling of hydraulic structures; Author index; Subject index"]
[null,null,null,"Sommario/riassunto","Modelling forms a vital part of all engineering design, yet many hydraulic engineers are not fully aware of the assumptions they make. These assumptions can have important consequences when choosing "]
[{"$nulls":4},"the best model to inform design decisions. Considering the advantages and limitations of both physical and mathematical methods, this book will help you identify the most appropriate form of analysis for the hydraulic engineering application in question. All models require the knowledge of their background, good data and careful interpretation and so this book also provides guidance on the range of accuracy to be expected of the model simulations and how they should be related to the prototype. Applications to models include: open channel systems, closed conduit flows, storm drainage systems, estuaries, coastal and nearshore structures, hydraulic structures. This an invaluable guide for students and professionals."]
[null,"2.","Record Nr.",null,"UNINA9910483829803321"]
[null,null,"Titolo",null,"Advances in Knowledge Discovery and Data Mining : 21st Pacific-Asia Conference, PAKDD 2017, Jeju, South Korea, May 23-26, 2017, Proceedings, Part II / / edited by Jinho Kim, Kyuseok Shim, Longbing Cao, Jae-Gil Lee, Xuemin Lin, Yang-Sae Moon"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017"]
[null,null,"ISBN",null,"3-319-57529-5"]
[null,null,"Edizione",null,"[1st ed. 2017.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XXXII, 857 p. 252 illus.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 10235"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Data mining"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Information storage and retrieval systems"]
[{"$nulls":4},"Application software"]
[{"$nulls":4},"Database management"]
[{"$nulls":4},"Data protection"]
[{"$nulls":4},"Data Mining and Knowledge Discovery"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Information Storage and Retrieval"]
[{"$nulls":4},"Computer and Information Systems Applications"]
[{"$nulls":4},"Database Management"]
[{"$nulls":4},"Data and Information Security"]
[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,"Classification and deep learning -- Social network and graph mining -- Privacy-preserving mining and security/risk applications -- Spatio-temporal and sequential data mining -- Clustering and anomaly detection -- Recommender system -- Feature selection -- Text and opinion mining -- Clustering and matrix factorization -- Dynamic, stream data mining -- Novel models and algorithms -- Behavioral data mining -- Graph clustering and community detection -- Dimensionality reduction."]
[null,null,null,"Sommario/riassunto","This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held "]
[{"$nulls":4},"in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction."]