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Ratnesh Kumar Sharma, Gnana Bharathy, Faezeh Karimi, Anil V. Mishra and Mukesh Prasad
This literature review explores the existing work and practices in applying thematic analysis natural language processing techniques to financial data in cloud environments. This work aims to improve two of the five Vs of the big data system. We used the...
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Marco Spruit, Marcin Kais and Vincent Menger
The Cross-Industry Standard Process for Data Mining (CRISP-DM), despite being the most popular data mining process for more than two decades, is known to leave those organizations lacking operational data mining experience puzzled and unable to start the...
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Milad Memarzadeh, Ata Akbari Asanjan and Bryan Matthews
Identifying safety anomalies and vulnerabilities in the aviation domain is a very expensive and time-consuming task. Currently, it is accomplished via manual forensic reviews by subject matter experts (SMEs). However, with the increase in the amount of d...
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Hamed Olfat,Mohsen Kalantari,Abbas Rajabifard,Hervé Senot,Ian Williamson
Pág. 173 - 195
Metadata is a vital tool for any spatially enabling platform, and helps the users to share, discover, assess and access data and services. However, the spatial industry faces different issues and challenges regarding metadata generation, updating and imp...
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Jaskaran Gill, Madhu Chetty, Suryani Lim and Jennifer Hallinan
Relation extraction from biological publications plays a pivotal role in accelerating scientific discovery and advancing medical research. While vast amounts of this knowledge is stored within the published literature, extracting it manually from this co...
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Muhammad Nouman Noor, Muhammad Nazir, Sajid Ali Khan, Imran Ashraf and Oh-Young Song
Globally, gastrointestinal (GI) tract diseases are on the rise. If left untreated, people may die from these diseases. Early discovery and categorization of these diseases can reduce the severity of the disease and save lives. Automated procedures are ne...
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Anna Kirkpatrick, Chidozie Onyeze, David Kartchner, Stephen Allegri, Davi Nakajima An, Kevin McCoy, Evie Davalbhakta and Cassie S. Mitchell
Literature-based discovery (LBD) summarizes information and generates insight from large text corpuses. The SemNet framework utilizes a large heterogeneous information network or ?knowledge graph? of nodes and edges to compute relatedness and rank concep...
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Florent Poux and Roland Billen
Automation in point cloud data processing is central in knowledge discovery within decision-making systems. The definition of relevant features is often key for segmentation and classification, with automated workflows presenting the main challenges. In ...
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