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Marwa Salah Farhan, Amira Youssef and Laila Abdelhamid
Traditional data warehouses (DWs) have played a key role in business intelligence and decision support systems. However, the rapid growth of the data generated by the current applications requires new data warehousing systems. In big data, it is importan...
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Mohammed Suleiman Mohammed Rudwan and Jean Vincent Fonou-Dombeu
Ontology merging is an important task in ontology engineering to date. However, despite the efforts devoted to ontology merging, the incorporation of relevant features of ontologies such as axioms, individuals and annotations in the output ontologies rem...
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Kang-Ren Leow, Meng-Chew Leow and Lee-Yeng Ong
The Online Roadshow, a new type of web application, is a digital marketing approach that aims to maximize contactless business engagement. It leverages web computing to conduct interactive game sessions via the internet. As a result, massive amounts of p...
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Anne M. Tall and Cliff C. Zou
Controlling access to a large set of medical and social media data processed in a cloud environment using open-source Hadoop storage and Spark parallel processing.
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Panagiotis Karamolegkos, Argyro Mavrogiorgou, Athanasios Kiourtis and Dimosthenis Kyriazis
Big Data is a phenomenon that affects today?s world, with new data being generated every second. Today?s enterprises face major challenges from the increasingly diverse data, as well as from indexing, searching, and analyzing such enormous amounts of dat...
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Iori Sasaki, Masatoshi Arikawa, Min Lu and Ryo Sato
This paper proposes a model-less feedback system driven by tourist tracking data that are automatically collected through mobile applications to visualize the gap between geomedia recommendations and the actual routes selected by tourists. High-frequency...
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Neelakandan Subramani, Sathishkumar Veerappampalayam Easwaramoorthy, Prakash Mohan, Malliga Subramanian and Velmurugan Sambath
Twitter, Instagram and Facebook are expanding rapidly, reporting on daily news, social activities and regional or international actual occurrences. Twitter and other platforms have gained popularity because they allow users to submit information, links, ...
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Jai Prakash Verma, Shir Bhargav, Madhuri Bhavsar, Pronaya Bhattacharya, Ali Bostani, Subrata Chowdhury, Julian Webber and Abolfazl Mehbodniya
The recent advancements in big data and natural language processing (NLP) have necessitated proficient text mining (TM) schemes that can interpret and analyze voluminous textual data. Text summarization (TS) acts as an essential pillar within recommendat...
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Francis Marco Maria Cirianni, Antonio Comi and Agata Quattrone
The application of artificial intelligence (AI) to dynamic mobility management can support the achievement of efficiency and sustainability goals. AI can help to model alternative mobility system scenarios in real time (by processing big data from hetero...
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Francesca Sasanelli, Khang Duy Ricky Le, Samuel Boon Ping Tay, Phong Tran and Johan W. Verjans
The advent of many popular commercial forms of natural language processing tools has changed the way we can utilise digital technologies to tackle problems with big data. The objective of this review is to evaluate the current research and landscape of n...
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