Titlebook: Nature of Computation and Communication; 9th EAI Internationa Phan Cong Vinh,Hafiz Mahfooz Ul Haque Conference proceedings 2024 ICST Instit

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Comparing LSTM Models for Stock Market Prediction: A Case Study with Apple’s Historical Priceshe integration of artificial intelligence and advancements in computational power has led to substantial improvements in predicting stock prices, surpassing the effectiveness of traditional programmed prediction methods. In this paper, we explore three distinct and innovative methods for stock price

Outshine

ess has been made in determining if a predicate is symmetric or if its inverse exists within the data. Our study of popular linked datasets such as DBpedia, YAGO and their associated ontologies has shown that they contain very few inverse and symmetric property axioms. The state-of-the-art approach

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SOB

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seruting

Dang Nhu Phu,Phan Cong Vinh,Nguyen Kim Quocpresented by RDF format (Resource Description Framework), but normal users are far from RDF due to technical skills required. As we learn, a concept-map or a node-link diagram can enhance the learning ability of learners from beginner to advanced user level, so RDF graph visualization can be a suita

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Endearing

Lubomir Almer,Josef Horalek,Tomas Svoboda) develop tools to manage the billions of news and provide services to meet all kinds of needs. News analysis applications conduct news mining work and reveal valuable information. What they all need is news meta-data, the fundamental element to support news analysis work. To extract and maintain me

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Tomas Svoboda,Lubomir Almer,Patrik Urbanik,Vladimir Sobeslav,Josef Horalekcollecting competitors is labor-intensive and time consuming. So automatic approaches are proposed for this purpose. However, these approaches suffer from the following two main challenges. Competitor information might not only be contained in semi-structured sources like lists or tables, but also b