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Age-period-cohort analysis : new models, methods, and empirical applications / / Yang Yang and Kenneth C. Land
Age-period-cohort analysis : new models, methods, and empirical applications / / Yang Yang and Kenneth C. Land
Autore Yang Yang <1975, >
Edizione [1st edition]
Pubbl/distr/stampa Boca Raton, Fla. : , : CRC Press, , 2013
Descrizione fisica 1 online resource (339 p.)
Disciplina 001.42/2
001.422
300.727
Altri autori (Persone) LandKenneth C
Collana Chapman & Hall/CRC interdisciplinary statistics series
Soggetto topico Cohort analysis
Age groups - Statistical methods
statistical method
distribution by age
sociology
data processing
ISBN 1-000-21873-2
0-429-09620-8
1-4665-0753-5
9781466507524
9781466507531
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction -- 2. Why cohort analysis? -- 3. APC analysis of data from three common research designs -- 4. Formalities of the age-period-cohort analysis conundrum and a generalized linear mixed models (GLMM) framework -- 5. APC accounting/multiple classification model, part I : model identification and estimation using the intrinsic estimator -- 6. APC accounting/multiple classification model, part II : empirical applications -- 7. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part I : the basics -- 8. Mixed effects models : hierarchical APC-cross-classified random effects models (HAPC-CCREM), part II : advanced analyses -- 9. Mixed effects models : hierarchical APC-growth curve analysis of prospective cohort data -- 10. Directions for future research and conclusion.
Record Nr. UNINA-9910633952203321
Yang Yang <1975, >  
Boca Raton, Fla. : , : CRC Press, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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AI for lawyers : how artificial intelligence is adding value, amplifying expertise, and transforming careers / / Noah Waisberg and Dr. Alexander Hudek
AI for lawyers : how artificial intelligence is adding value, amplifying expertise, and transforming careers / / Noah Waisberg and Dr. Alexander Hudek
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , [2021]
Descrizione fisica 1 online resource (xvi, 183 pages) : illustrations
xvi, 183 pages
Disciplina 340.028563
Soggetto topico automation
artificial intelligence
data processing
legal profession
legal science
Law offices - Automation
ISBN 1-119-72389-2
1-119-72388-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto How Lawyers Learned to Stop Worrying and Love AI -- #DoMoreLaw : How Doing Work More Efficiently Can Create More Legal Work, Not Less -- The Small Law Mindset: Bringing Biglaw Capabilities to Smaller Firms -- AI : A Modern Job Creator : The New Legal Mindsets, Skill Sets, and Jobs That Are in Demand -- Amplifying Legal Expertise : From One-to-One Advisory to Scalable, One-to-Many Service Delivery -- The Ethics of Lawyers Using, and Not Using, AI -- eDiscovery : What It Is and How AI Is Continuing to Transform How It Works for You -- AI in Legal Research : How AI Is Providing Everyone Access to Information and Leveling the Playing Field for Firms of All Sizes -- Litigation Analytics : The Emergence of Analytics in Law and Why It's Now Dangerous to Practice Litigation Without Data -- Contract Review to Contract Capital : How Ubiquitous Access to Contract Analysis Software Will Transform Legal and Business Practices -- Expert Systems : Self-Service Law and the Automation of Legal Question-Answering -- The Plan : Leveraging Data and AI to Expand and Future Proof Your Practice -- The AI Adoption Framework : Understanding the Adoption Path That Will Help You Get Ahead and Build the Practice of the Future -- Conclusion.
Altri titoli varianti Artificial intelligence for lawyers
Record Nr. UNINA-9910798930803321
Hoboken, New Jersey : , : Wiley, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
AI for lawyers : how artificial intelligence is adding value, amplifying expertise, and transforming careers / / Noah Waisberg and Dr. Alexander Hudek
AI for lawyers : how artificial intelligence is adding value, amplifying expertise, and transforming careers / / Noah Waisberg and Dr. Alexander Hudek
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , [2021]
Descrizione fisica 1 online resource (xvi, 183 pages) : illustrations
xvi, 183 pages
Disciplina 340.028563
Soggetto topico automation
artificial intelligence
data processing
legal profession
legal science
Law offices - Automation
ISBN 1-119-72389-2
1-119-72388-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto How Lawyers Learned to Stop Worrying and Love AI -- #DoMoreLaw : How Doing Work More Efficiently Can Create More Legal Work, Not Less -- The Small Law Mindset: Bringing Biglaw Capabilities to Smaller Firms -- AI : A Modern Job Creator : The New Legal Mindsets, Skill Sets, and Jobs That Are in Demand -- Amplifying Legal Expertise : From One-to-One Advisory to Scalable, One-to-Many Service Delivery -- The Ethics of Lawyers Using, and Not Using, AI -- eDiscovery : What It Is and How AI Is Continuing to Transform How It Works for You -- AI in Legal Research : How AI Is Providing Everyone Access to Information and Leveling the Playing Field for Firms of All Sizes -- Litigation Analytics : The Emergence of Analytics in Law and Why It's Now Dangerous to Practice Litigation Without Data -- Contract Review to Contract Capital : How Ubiquitous Access to Contract Analysis Software Will Transform Legal and Business Practices -- Expert Systems : Self-Service Law and the Automation of Legal Question-Answering -- The Plan : Leveraging Data and AI to Expand and Future Proof Your Practice -- The AI Adoption Framework : Understanding the Adoption Path That Will Help You Get Ahead and Build the Practice of the Future -- Conclusion.
Altri titoli varianti Artificial intelligence for lawyers
Record Nr. UNINA-9910808130303321
Hoboken, New Jersey : , : Wiley, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big data analytics with R : utilize R to uncover hidden patterns in your big data / / Simon Walkowiak
Big data analytics with R : utilize R to uncover hidden patterns in your big data / / Simon Walkowiak
Autore Walkowiak Simon
Edizione [1st edition]
Pubbl/distr/stampa Birmingham : , : Packt Publishing, , 2016
Descrizione fisica 1 online resource (498 pages) : illustrations
Collana Community experience distilled
Soggetto topico R (Computer program language)
Data mining
Information visualization
text and data mining
programming language
big data
cloud computing
data processing
software
ISBN 1-78646-372-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910798524603321
Walkowiak Simon  
Birmingham : , : Packt Publishing, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Big data analytics with R : utilize R to uncover hidden patterns in your big data / / Simon Walkowiak
Big data analytics with R : utilize R to uncover hidden patterns in your big data / / Simon Walkowiak
Autore Walkowiak Simon
Edizione [1st edition]
Pubbl/distr/stampa Birmingham : , : Packt Publishing, , 2016
Descrizione fisica 1 online resource (498 pages) : illustrations
Collana Community experience distilled
Soggetto topico R (Computer program language)
Data mining
Information visualization
text and data mining
programming language
big data
cloud computing
data processing
software
ISBN 1-78646-372-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910811945103321
Walkowiak Simon  
Birmingham : , : Packt Publishing, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data-driven decisions : a practical toolkit for librarians and information professionals / / Amy Stubbing [[electronic resource]]
Data-driven decisions : a practical toolkit for librarians and information professionals / / Amy Stubbing [[electronic resource]]
Autore Stubbing Amy
Pubbl/distr/stampa London : , : Facet, , 2022
Descrizione fisica 1 online resource (xvi, 180 pages) : digital, PDF file(s)
Disciplina 025.1
Soggetto topico Library administration - Decision making
Information resources management - Decision making
Quantitative research
Data mining
library
text and data mining
decision-making
data processing
digital technology
ISBN 1-78330-522-3
1-78330-480-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover -- Praise for Data-Driven Decisions -- Title Page -- Copyright -- Dedication -- Contents -- Figures and Tables -- Contributors -- Acknowledgements -- Part 1: Background -- 1 Introduction -- About the author -- The wider context -- The what, the why and the where of the data-driven decision process -- The toolkit? -- Going further -- What will you get from this book? -- 2 Using the Toolkit -- Getting started -- Book layout -- The model -- A circular approach -- Part 2: The Toolkit -- 3 Step 1: Identify -- Introduction -- Data needs -- Data queries -- Data sources -- Time to practise -- Summary -- 4 Step 2: Collect -- Introduction -- Choosing your data -- Data collection methods -- Summary -- 5 Step 3: Map -- Introduction -- What is mapping? -- Making data comparable (normalising) -- Visualisation -- Creating a map of your data -- Summary -- 6 Step 4: Analyse -- Introduction -- What is analysis? -- Understand context -- Conclusions -- Summary -- 7 Step 5: Act -- Introduction -- What is the action step? -- Sharing data -- Planning actions -- Summary -- 8 Step 6: Review -- Introduction -- Why do we review? -- What do we review? -- How to review and questions to explore -- Make the changes -- What next? -- Part 3: Going Further -- 9 Moving from a Transactional to a Transformational Service Using Data -- Introduction -- Why lead with data? -- Transactional vs transformational work -- Data-led culture -- Data with compassion -- Case study -- 10 Collection Mapping for Collection Management -- Introduction -- Understanding your collection as a concept -- Collection mapping -- Conclusion -- 11 User Experience and Qualitative Data -- Introduction -- What is UX? -- Undertaking UX research in a library -- The UX techniques -- Ethics of research -- Recruiting participants -- Analysis -- Now write it up! -- What next? -- Words of caution.
This is the beginning -- 12 Alternative Data Sources: Using Digital and Social Media to Inform Management Decisions in Your Library -- Introduction -- Libraries and social media -- Social media terminology and background -- What sort of data are we talking about? -- Data from social media marketing activity -- User engagement data and dialogue (outcomes measurement and evaluation) -- Service improvements and customer services -- Altmetrics -- Web-based analytics -- Summary -- 13 Starting from Scratch: Building a Data Culture at the University of Westminster -- Background -- Overnight opening case study -- Lessons learned and reflection -- 14 Back to the Drawing Board: How Data Visualisation Techniques Informed Service Delivery during the COVID-19 Pandemic -- Setting the scene -- Background -- Piktochart -- Power BI -- Case study: the pandemic -- Final thoughts -- Appendix -- Bibliography -- Index.
Record Nr. UNINA-9910795883603321
Stubbing Amy  
London : , : Facet, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Datenschutz-Grundverordnung verbessern : Änderungsvorschläge aus Verbrauchersicht / / Alexander Roßnagel, Christian Geminn
Datenschutz-Grundverordnung verbessern : Änderungsvorschläge aus Verbrauchersicht / / Alexander Roßnagel, Christian Geminn
Autore Roßnagel Alexander
Pubbl/distr/stampa Nomos Verlagsgesellschaft mbH & Co. KG, 2020
Descrizione fisica 198 pages : digital file(s)
Collana Der elektronische Rechtsverkehr
Soggetto topico Privacy, Right of - European Union countries
Consumer protection - Law and legislation - European Union countries
Data protection - Law and legislation - European Union countries
EU law
consumer protection
data processing
EU Member State
ISBN 978-3-8487-7706-8
978-3-7489-2099-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Record Nr. UNINA-9910418343403321
Roßnagel Alexander  
Nomos Verlagsgesellschaft mbH & Co. KG, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Datenschutz-Grundverordnung verbessern : Änderungsvorschläge aus Verbrauchersicht / / Alexander Roßnagel, Christian Geminn
Datenschutz-Grundverordnung verbessern : Änderungsvorschläge aus Verbrauchersicht / / Alexander Roßnagel, Christian Geminn
Autore Roßnagel Alexander
Pubbl/distr/stampa Nomos Verlagsgesellschaft mbH & Co. KG, 2020
Descrizione fisica 198 pages : digital file(s)
Collana Der elektronische Rechtsverkehr
Soggetto topico Privacy, Right of - European Union countries
Consumer protection - Law and legislation - European Union countries
Data protection - Law and legislation - European Union countries
EU law
consumer protection
data processing
EU Member State
ISBN 978-3-8487-7706-8
978-3-7489-2099-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Record Nr. UNISA-996540359203316
Roßnagel Alexander  
Nomos Verlagsgesellschaft mbH & Co. KG, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
IT Management in the Digital Age [[electronic resource] ] : A Roadmap for the IT Department of the Future / / by Nils Urbach, Frederik Ahlemann
IT Management in the Digital Age [[electronic resource] ] : A Roadmap for the IT Department of the Future / / by Nils Urbach, Frederik Ahlemann
Autore Urbach Nils
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (132 pages)
Disciplina 658.4038
Collana Management for Professionals
Soggetto topico Information technology
Business—Data processing
Application software
Organization
Planning
Leadership
Management
Industrial management
IT in Business
Information Systems Applications (incl. Internet)
Business Strategy/Leadership
Innovation/Technology Management
information technology
data processing
data protection
business administration
ISBN 3-319-96187-X
Classificazione 32.24.08
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910337821603321
Urbach Nils  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Künstliche Intelligenz in der Forschung [[electronic resource] ] : Neue Möglichkeiten und Herausforderungen Für Die Wissenschaft
Künstliche Intelligenz in der Forschung [[electronic resource] ] : Neue Möglichkeiten und Herausforderungen Für Die Wissenschaft
Autore Gethmann Carl Friedrich
Pubbl/distr/stampa Berlin, Heidelberg, : Springer Berlin / Heidelberg, 2021
Descrizione fisica 1 online resource (201 p.)
Altri autori (Persone) BuxmannPeter
DistelrathJulia
HummBernhard G
LingnerStephan
NitschVerena
SchmidtJan C
Spiecker genannt DöhmannIndra
Collana Ethics of Science and Technology Assessment Ser.
Soggetto topico artificial intelligence
data collection
data processing
information analysis
ISBN 3-662-63449-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ger
Altri titoli varianti Künstliche Intelligenz in der Forschung
Record Nr. UNINA-9910511980403321
Gethmann Carl Friedrich  
Berlin, Heidelberg, : Springer Berlin / Heidelberg, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui