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1. |
Record Nr. |
UNINA9910784494603321 |
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Autore |
Semmingsen Ingrid <1910-1995.> |
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Titolo |
Norway to America : a history of the migration / / Ingrid Semmingsen ; translated by Einar Haugen |
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Pubbl/distr/stampa |
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Minneapolis, : University of Minnesota Press, c1978 |
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©1978 |
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ISBN |
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Descrizione fisica |
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1 online resource (vii, 213 pages) : illustrations |
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Disciplina |
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Soggetti |
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Norwegian Americans - History |
Norwegians - United States |
Norway Emigration and immigration |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Translation of Drøm og dåd. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Preface; Contents; Migration; The Sloop Restauration, 1825; Pioneers; Exodus, 1836-65; Land of Freedom and Opportunity, the 1850's; The Long Journey; Years of Trial and Triumph; A Pioneer Society; Encountering Americans; The Big Families; Change and Unrest, 1865-1915; The Fabulous Land; Norway in America; Politics and Organizations; The Immigrants Become Americans; The Emigrants and the Homeland; Notes; Selected Bibliography; Index; |
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Sommario/riassunto |
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This book tells the story of the migration as it affected both countries and investigates the reasons for "American Fever." The story ends with a discussion of the ways in which Norwegian-Americans retain their ties to Norway. The book was first published in Norway as Dröm og Dad (Dream and Deed), in observance of the 150th anniversary of the departure of the first emigrant ship for America. This is an excellent way to celebrate one of the strongest ethnic heritages in America. |
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2. |
Record Nr. |
UNINA9910739437203321 |
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Titolo |
Highlighting the Importance of Big Data Management and Analysis for Various Applications / / edited by Mohammad Moshirpour, Behrouz Far, Reda Alhajj |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (161 pages) |
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Collana |
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Studies in Big Data, , 2197-6511 ; ; 27 |
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Disciplina |
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Soggetti |
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Quantitative research |
Big data |
Sociology - Methodology |
Data mining |
System theory |
Computational intelligence |
Data Analysis and Big Data |
Big Data |
Sociological Methods |
Data Mining and Knowledge Discovery |
Complex Systems |
Computational Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Chapter 1. Big data analytics of social network data: Who cares most about you on Facebook? -- Chapter 2. Characterizing and Predicting Yelp Users' Behavior Composite Visualization Features in -- Chapter 3. PEVNET: A Framework for Visualization of Criminal Networks -- Chapter 4. Effective Customer Relationship Managment at ATB Financial A Case Study on Industry-Academia Collaboration in Data Analytics -- Chapter 5. Effective Personnel Selection and Team Building using Intelligent Data Analytics -- Chapter 6. Extracting Relevant Information from Big Data to Anticipate Forced Migration -- Chapter 7. Implicit |
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Social Networks for Social Recommendation of Scholarly Papers -- Chapter 8. The Effect of Corpora Size on Performance of Named Entity Recognition -- Chapter 9. Time Series Analysis for the most Frequently Mentioned Biomarkers in Breast Cancer Articles -- Chapter 10. Transportation Engineering on Social Question and Answer Websites: An Empirical Case Study -- Chapter 11. Understanding Health Service Delivery Using Spatio-Temporal Patient Mobility Data -- Chapter 12. WaterVis: GeoVisual Analytics for Exploring Hydrological Data. |
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Sommario/riassunto |
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This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the inherent complexity and increasing demands in data science, a variety of application domains are covered. Various case studies by data management and analysis experts are presented in these chapters. Covered applications include banking, social networks, bioinformatics, healthcare, transportation and criminology. Highlighting the Importance of Big Data Management and Analysis for Various Applications will provide the reader with an understanding of how data management and analysis are adapted to these applications. This book will appeal to researchers and professionals in the field. . |
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