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    AuthorClark, William F (1)Gudivada, Akhil (1)Hoffman, David Richard (1)Khanal, Rabindra (1)Yasrobi, Seyedfaraz (1)Subject
    Big data (5)
    Machine learning (2)Archival materials--Digitization (1)Big Data Analytics (1)Cloud computing (1)Computer software--Development (1)Containers (1)Database management (1)DataOps (1)DevOps (1)... View MoreDate Issued2017 (2)2019 (2)2020 (1)Has File(s)
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    Towards Big Data Infrastructure for Historic Handwritten Document Transcription 

    Hoffman, David Richard (East Carolina University, 2017-05-03)
    Historical archival documents are vast and contain many thousands of pages of unstructured data, often not easily searchable. The current state of the art is searchable meta-tags of documents which help a reader to land ...
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    User Behavior Analysis using Smartphones 

    Yasrobi, Seyedfaraz (East Carolina University, 2017-07-26)
    Users' activities produce an enormous amount of data when using popular devices such as smartphones. These data can be used to develop behavioral models in several areas including fraud detection, finance, recommendation ...
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    POSTGRESQL AS A MULTI-MODEL DATABASE 

    Khanal, Rabindra (East Carolina University, 2019-07-26)
    Data is being generated at unprecedented volume and speed, which is popularly known as Big Data. Most of this data is unstructured and requires natural language processing and information retrieval techniques to extract ...
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    MACHINE LEARNING BASED MEDICAL INFORMATION RETRIEVAL SYSTEMS 

    Gudivada, Akhil (East Carolina University, 2019-04-23)
    As many fields progress with the assistance of cognitive computing, the field of health care is also adapting, providing many benefits to all users. However, advancements in this area are hindered by several challenges ...
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    Software Engineering for Real-Time NoSQL Systems-centric Big Data Analytics 

    Clark, William F (East Carolina University, 2020-12-02)
    Recent advances in Big Data Analytics (BDA) have stimulated widespread interest to integrate BDA capabilities into all aspects of a business. Before these advances, companies have spent time optimizing the software ...

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