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  1. Digital Humanities and Digital Media: Conversations on Politics, Culture, Aesthetics and Literacy
    Contributor: Simanowski, Roberto (Publisher)
    Published: 2016
    Publisher:  Open Humanities Press

    There is no doubt that we live in exciting times: Ours is the age of many ‘silent revolutions’ triggered by startups and research labs of big IT companies; revolutions that quietly and profoundly alter the world we live in. Another ten or five years,... more

     

    There is no doubt that we live in exciting times: Ours is the age of many ‘silent revolutions’ triggered by startups and research labs of big IT companies; revolutions that quietly and profoundly alter the world we live in. Another ten or five years, and self-tracking will be as normal and inevitable as having a Facebook account or a mobile phone. Our bodies, hooked to wearable devices sitting directly at or beneath the skin, will constantly transmit data to the big aggregation in the cloud. Permanent recording and automatic sharing will provide unabridged memory, both shareable and analyzable. The digitization of everything will allow for comprehensive quantification; predictive analytics and algorithmic regulation will prove themselves effective and indispensable ways to govern modern mass society. Given such prospects, it is neither too early to speculate on the possible futures of digital media nor too soon to remember how we expected it to develop ten, or twenty years ago. The observations shared in this book take the form of conversations about digital media and culture centered around four distinct thematic fields: politics and government, algorithm and censorship, art and aesthetics, as well as media literacy and education. Among the keywords discussed are: data mining, algorithmic regulation, sharing culture, filter bubble, distant reading, power browsing, deep attention, transparent reader, interactive art, participatory culture. The interviewees (mostly from the US, but also from France, Brazil, and Denmark) were given a set of common questions as well specific inquiries tailored to their individual areas of interest and expertise. As a result, the book both identifies different takes on the same issues and enables a diversity of perspectives when it comes to the interviewees’ particular concerns.

     

    Among the questions offered to everybody were: What is your favored neologism of digital media culture? If you could go back in history of new media and digital culture in order to prevent something from happening or somebody from doing something, what or who would it be? If you were a minister of education, what would you do about media literacy? What is the economic and political force of personalization and transparency in digital media and what is its personal and cultural cost? Other recurrent questions address the relationship between cyberspace and government, the Googlization, quantification and customization of everything, and the culture of sharing and transparency. The section on art and aesthetics evaluates the former hopes for hypertext and hyperfiction, the political facet of digital art, the transition from the “passive” to “active” and from “social” to “transparent reading”; the section on media literacy discusses the loss of deep reading, the prospect of “distant reading” and “algorithmic criticism” as well as the response of the university to the upheaval of new media and the expectations or misgivings towards the rise of the Digital Humanities.

     

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  2. Data Science and Knowledge Discovery
    Contributor: Portela, Filipe (Herausgeber)
    Published: 2022
    Publisher:  MDPI - Multidisciplinary Digital Publishing Institute, Basel

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    Source: Union catalogues
    Contributor: Portela, Filipe (Herausgeber)
    Language: Undetermined
    Media type: Ebook
    Format: Online
    ISBN: 9783036543154
    Other identifier:
    10.3390/books978-3-0365-4315-4
    Other subjects: crisis reporting; chatbots; journalists; news media; COVID-19; textbook research; digital humanities; digital infrastructures; data analysis; content base image retrieval; semantic information retrieval; deep features; multimedia document retrieval; data science; open government data; governance and social institutions; economic determinants of open data; geoinformation technology; fractal dimension; territorial road network; box-counting framework; script Python; ArcGIS; internet of things; LoRaWAN; ICT; The Things Network; ESP32 microcontroller; decision systems; rule based systems; databases; rough sets; prediction by partial matching; spatio-temporal; activity recognition; smart homes; artificial intelligence; automation; e-commerce; machine learning; big data; customer relationship management (CRM); distracted driving; driving behavior; driving operation area; data augmentation; feature extraction; authorship; text mining; attribution; neural networks; deep learning; forensic intelligence; dashboard; WebGIS; data analytics; SARS-CoV-2; Big Data; Web Intelligence; media analytics; social sciences; humanities; linked open data; adaptation process; interdisciplinary research; media criticism; classification; information systems; public health; data mining; ioCOVID19; n/a; Information technology industries; Computer science
    Scope: 1 electronic resource (254 pages)
  3. Data Science and Knowledge Discovery
    Contributor: Portela, Filipe (Herausgeber)
    Published: 2022
    Publisher:  MDPI - Multidisciplinary Digital Publishing Institute, Basel ; OAPEN FOUNDATION, The Hague

    Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research.... more

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    Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research. In the business field, DS's application allows using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data to support the decision process. After collecting the data, it is crucial to discover the knowledge. In this step, Knowledge Discovery (KD) tasks are used to create knowledge from structured and unstructured sources (e.g., text, data, and images). The output needs to be in a readable and interpretable format. It must represent knowledge in a manner that facilitates inferencing. KD is applied in several areas, such as education, health, accounting, energy, and public administration. This book includes fourteen excellent articles which discuss this trending topic and present innovative solutions to show the importance of Data Science and Knowledge Discovery to researchers, managers, industry, society, and other communities. The chapters address several topics like Data mining, Deep Learning, Data Visualization and Analytics, Semantic data, Geospatial and Spatio-Temporal Data, Data Augmentation and Text Mining.

     

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    Source: Union catalogues
    Contributor: Portela, Filipe (Herausgeber)
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783036543154; 9783036543161
    Subjects: Information technology industries; Computer science
    Other subjects: crisis reporting; chatbots; journalists; news media; COVID-19; textbook research; digital humanities; digital infrastructures; data analysis; content base image retrieval; semantic information retrieval; deep features; multimedia document retrieval; data science; open government data; governance and social institutions; economic determinants of open data; geoinformation technology; fractal dimension; territorial road network; box-counting framework; script Python; ArcGIS; internet of things; LoRaWAN; ICT; The Things Network; ESP32 microcontroller; decision systems; rule based systems; databases; rough sets; prediction by partial matching; spatio-temporal; activity recognition; smart homes; artificial intelligence; automation; e-commerce; machine learning; big data; customer relationship management (CRM); distracted driving; driving behavior; driving operation area; data augmentation; feature extraction; authorship; text mining; attribution; neural networks; deep learning; forensic intelligence; dashboard; WebGIS; data analytics; SARS-CoV-2; Big Data; Web Intelligence; media analytics; social sciences; humanities; linked open data; adaptation process; interdisciplinary research; media criticism; classification; information systems; public health; data mining; ioCOVID19; n/a
    Scope: 1 Online-Ressource (254 p.)
  4. An electric vehicle migration framework
    Published: April 2022
    Publisher:  IUJ Research Institute, International University of Japan, [Niigata-ken]

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Economics & management series / International University of Japan ; EMS-2022, 03
    Subjects: Electric vehicle; range anxiety; public transport; optimization; MILP; data mining; remote sensing; clustering
    Scope: 1 Online-Ressource (circa 43 Seiten), Illustrationen
  5. Predicting political ideology from digital footprints
    Published: [2022]
    Publisher:  [Monash University, Monash Business School, Department of Economics], [Clayton]

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    Source: Union catalogues
    Language: English
    Media type: Book
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    Series: Discussion paper / Monash University, Department of Economics ; no. 2022, 12
    Subjects: data mining; political ideolog; digital footprint; Reddit
    Scope: 1 Online-Ressource (circa 62 Seiten), Illustrationen
  6. Data Science and Knowledge Discovery
    Contributor: Portela, Filipe (Herausgeber)
    Published: 2022
    Publisher:  MDPI - Multidisciplinary Digital Publishing Institute, Basel

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    Source: Union catalogues
    Contributor: Portela, Filipe (Herausgeber)
    Language: 0|e
    Media type: Ebook
    Format: Online
    ISBN: 9783036543154
    Subjects: Information technology industries; Computer science
    Other subjects: crisis reporting; chatbots; journalists; news media; COVID-19; textbook research; digital humanities; digital infrastructures; data analysis; content base image retrieval; semantic information retrieval; deep features; multimedia document retrieval; data science; open government data; governance and social institutions; economic determinants of open data; geoinformation technology; fractal dimension; territorial road network; box-counting framework; script Python; ArcGIS; internet of things; LoRaWAN; ICT; The Things Network; ESP32 microcontroller; decision systems; rule based systems; databases; rough sets; prediction by partial matching; spatio-temporal; activity recognition; smart homes; artificial intelligence; automation; e-commerce; machine learning; big data; customer relationship management (CRM); distracted driving; driving behavior; driving operation area; data augmentation; feature extraction; authorship; text mining; attribution; neural networks; deep learning; forensic intelligence; dashboard; WebGIS; data analytics; SARS-CoV-2; Big Data; Web Intelligence; media analytics; social sciences; humanities; linked open data; adaptation process; interdisciplinary research; media criticism; classification; information systems; public health; data mining; ioCOVID19; n/a
    Scope: 1 electronic resource (254 pages)
  7. Information access evaluation
    multilinguality, multimodality, and visualization ; proceedings
    Contributor: Forner, Pamela (Herausgeber); Müller, Henning (Herausgeber); Paredes, Roberto (Herausgeber); Rosso, Paolo (Herausgeber); Stein, Benno (Herausgeber)
    Published: 2013
    Publisher:  Springer, Berlin

  8. Illusory profitability of technical analysis in emerging foreign exchange markets
    Published: 2013
    Publisher:  Dep. of Economics, Univ. of Birmingham, Birmingham

    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
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    Content information
    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Series: Department of Economics discussion paper / Department of Economics, The University of Birmingham ; 13-09
    Subjects: foreign exchange; technical trading; data mining; bootstrap test; emerging market
    Scope: Online-Ressource (30 S.)
  9. Artificial intelligence methods for evaluating global trade flows
    Published: 2020
    Publisher:  Board of Governors of the Federal Reserve System, [Washington, DC]

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
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    Series: International finance discussion papers ; number 1296 (August 2020)
    Subjects: international trade; boosting; prediction; data mining; imports and exports; outlier events
    Scope: 1 Online-Ressource (circa 31 Seiten), Illustrationen