Tabla de Contenidos: “…Introduction / Marcello Ienca, Oreste Pollicino, Laura Liguori, Elisa Stefanini and Roberto Andorno -- M-health at the crossroads between the right to health and the right privacy / Oreste Pollicino, Laura Liguori and Elisa Stefanini -- Neurorights and the Chilean initiative / Emily Einhorn and Rafael Yuste -- Persuasive technologies and the right to mental liberty : the 'smart' rehabilitation of criminal offenders / Sjors Ligthart, Gerben Meynen and Thomas Douglas -- The ethics and laws of medical big data / Hrefna D. Gunnarsdóttir, I. Glenn Cohen, Timo Minssen, Sara Gerke -- The right to have a child : through the lens of the third phase reproductive technologies / Judit Sandor -- Medical robots and the rights to health care : a progressive realisation / Robin L. …”

“…Gain hands-on experience with SPARQL, the RDF query language that's bringing new possibilities to semantic web, linked data, and big data projects. This updated and expanded edition shows you how to use SPARQL 1.1 with a variety of tools to retrieve, manipulate, and federate data from the public web as well as from private sources. …”

“…Davenport, Distinguished Professor at Babson College and author of BigData@Work…”

“…Other recipes include Spring enterprise solutions for topics such as Spring Java EE integration, Spring Integration, Spring Batch, Spring Remoting, messaging, transactions, and working with big data and the cloud using Hadoop and MongoDB. Finally, Spring web recipes cover Spring MVC, other dynamic scripting, integration with the popular Grails Framework (and Groovy), REST/web services, and more. …”

“…The lean agile enterprise concept is demystified and translated into action as the author shares his experience with both success and major failure in areas such as healthcare, insurance, major airline, manufacturing, financial services, education, and big data. The author shares the good, the bad, and the ugly of enterprise-level adoption of lean startup practices (what we call a “lean corporation”). …”

“…This book provides a background in data science fundamentals before moving on to working with relational databases and unstructured data and preparing your data for analysis; details different data visualization techniques that can be used to showcase and summarize your data; explains both supervised and unsupervised machine learning, including regression, model validation, and clustering techniques; includes coverage of big data processing tools like MapReduce, Hadoop, Dremel, Storm, and Spark…”

Tabla de Contenidos: “…-- Marketing by numbers: tiny markets -- References -- Company case: Fitbit: riding the fitness wave to glory -- 4 Managing marketing information to gain customerinsights -- Chapter preview -- Learning outcomes -- Marketing information and customer insights -- Marketing information and today's 'big data' -- Managing marketing information -- Assessing marketing information needs -- Developing marketing information -- Internal data -- Competitive marketing intelligence -- Marketing research -- Defining the problem and research objectives -- Developing the research plan -- Gathering secondary data -- Primary data collection -- Implementing the research plan -- Interpreting and reporting the findings -- Analysing and using marketing information -- Customer relationship management (CRM) -- Big data and marketing analytics -- Distributing and using marketing information -- Other marketing information considerations -- Marketing research in small businesses and non-profit organisations -- International marketing research -- Public policy and ethics in marketing research -- Learning outcomes review -- Navigating the key terms -- Discussion and critical thinking -- Discussing the concepts -- Critical-thinking exercises -- Mini-cases and applications -- Online, mobile and social media marketing: the trail you leave behind -- Marketing ethics: metadata -- Marketing by numbers: the value of information -- Video case: Nielsen -- References -- Company case: Holland & Barrett: choosing the good life! …”

Tabla de Contenidos: “…Education in the Age of 'Corporate YouTube': Big Data Analytics Meets Instafamous 59 -- Introduction 59 Panopto: The 'Corporate YouTube' 60 Educational Analytics: Data Mining and Measuring Pedagogical Success 61 Insta-Teacher: Performance Monitoring the Performance of Pedagogy 64 Opting In for Digital Disengagement 68 Lecture Capture and the Captive 'Data Double': The Persistence of Data -- and Digital Rights 71 Conclusion: We Don't Need No Education? …”

“…Authors are encouraged to present their latest research; reviews on topics including methods, approaches, systems, and technology; and interfaces to other domains such as big data, cybersecurity, human–machine, sustainability, and smart cities. …”

Tabla de Contenidos: “…Education in the Age of 'Corporate YouTube': Big Data Analytics Meets Instafamous -- Introduction -- Panopto: The 'Corporate YouTube' -- Educational Analytics: Data Mining and Measuring Pedagogical Success -- Insta-Teacher: Performance Monitoring the Performance of Pedagogy -- Opting In for Digital Disengagement -- Lecture Capture and the Captive Data Double': The Persistence of Data -- and Digital Rights -- Conclusion: We Don't Need No Education? …”

Tabla de Contenidos: “…/ Piers Robinson -- Propaganda 2.0: Herman and Chomsky's Propaganda Model in the Age of the Internet, Big Data and Social Media / Christian Fuchs -- System Security: A Missing Filter for the Propaganda Model? …”

Tabla de Contenidos: “…Measuring Soft Power<BR><EM>Li Ji</EM></P><P>7. Challenges of Big Data Approaches in Mapping Soft Power<BR><EM>Richard Davis and Li Ji</EM></P><P>8. …”

“…Thus, the papers in the Special Issue In Silico Strategies for Prospective Drug Repositionings introduce a wide array of in silico strategies such as complex network analysis, big data, machine learning, molecular docking, molecular dynamics simulation, and QSAR; these strategies target diverse diseases and medical conditions: COVID-19 and post-COVID-19 pulmonary fibrosis, non-small lung cancer, multiple sclerosis, toxoplasmosis, psychiatric disorders, or skin conditions…”

Tabla de Contenidos: “…Vos & Patrick Ferrucci -- The death of the author, the rise of the robo-journalist: authorship, bylines and full disclosure in automated journalism / Tal Montal & Zvi Reich -- The entrepreneurial journalist / Tamara Witschge & Frank Harbers -- Content analysis of Twitter: big data, big studies / Cornelia Brantner & Jürgen Pfeffer -- Innovation in content analysis: freezing the flow of liquid news / Rodrigo Zamith -- An approach to assessing the robustness of local news provision / Philip M. …”

“…El imparable progreso de los medios de comunicación, la incorporación de las técnicas de Big Data y del Blockchain, el predominio del «algoritmo» en la relación con las audiencias, son síntomas de la comprensión tecnológica dominante de la comunicación. …”

“…Los buques autónomos de superficie o Maritime Autonomous Surface Ships, conocidos como MASS, junto a las políticas de modernización y automatización de los puertos con el objetivo, no solo de convertir los tradicionales puertos en puertos inteligentes, sino de lograr una comunidad de Smarts Ports conectados entre sí a través del internet de las cosas (IoT), Inteligencia Artificial (AI), blockchain y Big data para lograr una mayor eficiencia en las operaciones portuarias creando Redes de Puertos inteligentes que, además, en aplicación del citado Big data y los machine learning, ofrezcan al usuario una logística portuaria automatizada basada en el ahorro de costes, la eficiencia y una mayor seguridad en la ejecución de dichas operaciones son hoy en día una realidad. …”
Datos de acceso al recurso electrónico
Acceso a la plataforma Legalteca, busque el título una vez dentro.

Tabla de Contenidos: “…Craig Howes Research Methods for Studying Graphic BiographyCandida Rifkind Working with Family HistoriesAshley Barnwell Tracing Emotional Bonds in Family Letters/ A Pursuit of an Epistolary MelodyLeena Kurvet-Kaossar Life Narrative Methods for Working with DiariesKylie Cardell Autoethnographic Life Writing: Reaching Beyond, Crossing OverSally Ann Murray Telling life stories using creative methods in qualitative interviewsSigne Ravn Performing and broadcasting lives: Auto/biographical testimonies in theatre and radioGunn Gudmundsdottir Big Data and Self-Tracking: Research TrajectoriesJulie Rak FrameworksAnother StoryJeanine Leane Reading Digital Lives GenerouslyLaurie McNeill and John Zuern Reading the Life Narratives of Children and YouthKate Douglas Negotiated Truths and Iterative Practice in Action: The Women In Conflict Expressive Life Writing ProjectMeg Jensen and Siobhan Campbell Researching Online Biographical Media and Death Narratives After the Digital TurnPamela GrahamAn Epistemological Approach to Trans* AutobiographySarah Ray RondatGenetics and Auto/biographyPramod K. …”

“…Hablamos de retos de ayer, los homínidos; de retos de hoy, el hombre tecno-líquido y psico-político; y de retos del futuro que ya está aquí, el transhumanismo/posthumanismo, con protagonismo de cuatro realidades: la nanotecnología, la biotecnología, el Big Data, la inteligencia artificial. ¿Estamos ante el fin de la antropología cristiana? …”

Tabla de Contenidos: “…/ Why Data Protection And Transparency Are Not Enough When Facing Social Problems Of Machine Learning In A Big Data Context / Transparency Is The Perfect Cover-Up (If The Sun Does Not Shine) / Transparency As Translation In Data Protection / Part III. …”

Tabla de Contenidos: “…Combining Scenarios, Backgrounds, and Scenario OutlinesChapter 2: Creating Step Definitions; Introduction; Creating your first Step Definitions file; Identifying Duplicate and Ambiguous Step Definitions; Using Regular Expressions to optimize Step Definitions; Using Optional Capture and Noncapture groups; Transforming Data Tables to parse the test data; Implementing data table diffs to compare tables; Using Doc Strings to parse big data as one chunk; Combining Doc Strings and Scenario Outlines; Defining String transformations for better conversions; Chapter 3: Enabling Fixtures; Introduction…”