Mohaimenul Azam Khan Raiaan, Md. Saddam Hossain Mukta, Kaniz Fatema, Nur Mohammad Fahad et al.
Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to understand ...
Md. Abdul Moktadir, Syed Mithun Ali, Sanjoy Kumar Paul, Nagesh Shukla
Recently, big data (BD) has attracted researchers and practitioners due to its potential usefulness in decision-making processes. Big data analytics (BDA) is becoming increasingly popular among manufacturing companies as it helps gain insights and make decisions based on BD. However, there many barr...
Paul A. Griffin, Arnold M. Wright
The commentaries in this forum on Big Data confront one of our profession’s most pressing challenges. How should we respond to Big Data? Big Data and business analytics now permeate almost all aspects of major companies’ decision making and business strategies. A large U.S. company, for example, mig...
Marco Ramoni, Paola Sebastiani
Bayesian approaches to learn the graphical structure of Bayesian Belief Networks (BBNs) from databases share the assumption that the database is complete, that is, no entry is reported as unknown. Attempts to relax this assumption involve the use of expensive iterative methods to discriminate among ...
Kang Chao, Md Nazirul Islam Sarker, Isahaque Ali, R. B. Radin Firdaus et al.
The use of healthcare data analytics is anticipated to play a significant role in future public health policy formulation. Therefore, this study examines how big data analytics (BDA) may be methodically incorporated into various phases of the health policy cycle for fact-based and precise health pol...
Andrea Reid, Miriam Catterall
Lynn Robertson, Corri Black, Nick Fluck, Sharon Gordon et al.
BACKGROUND: Individuals on renal replacement therapy (RRT) have increased fracture risk, but risk in less advanced chronic kidney disease (CKD) is unclear. OBJECTIVE: To investigate CKD associations with hip fracture incidence and mortality. DESIGN: Record linkage cohort study Grampian Laboratory Ou...
Mesbaul Haque Sazu, Sakila Akter Jahan
Big Data Analytics initiatives are crucial for changing conventional firms' decision-making directly into a data driven one that helps achieve the firm's goals. Nevertheless, prior information methods analysis has not given sufficient interest in the effect of Big Data Analytics use on decision-maki...
Sheikh Abujar, Mahmudul Hasan, M.S.I Shahin, Syed Akhter Hossain
Automated Text Summarization is a technique of summarizing any document or text automatically. Summarized text is the concise form of the given text. In Natural language processing many text summarization techniques are available for English language, but only a few for Bangla language. Bangla is on...
Duy Vu, Alessandro Lomi, Daniele Mascia, Francesca Pallotti
The main objective of this paper is to introduce and illustrate relational event models, a new class of statistical models for the analysis of time-stamped data with complex temporal and relational dependencies. We outline the main differences between recently proposed relational event models and mo...
AKM Bahalul Haque, B. M. Arifuzzaman, Sayed Abu Noman Siddik, Abul Kalam et al.
Today, healthcare has become one of the largest and most fast-paced industries due to the rapid development of digital healthcare technologies. The fundamental thing to enhance healthcare services is communicating and linking massive volumes of available healthcare data. However, the key challenge i...
Han Zhang, Luyi Bai
Few-shot knowledge graph completion (KGC) is an important and common task in real applications, which aims to predict unseen facts when only few samples are available for each relation in the knowledge graph (KG). Previous methods on few-shot KGC mainly focus on static KG, however, many KG in real-w...
Steven Wooding, Kate Wilcox-Jay, Grant Lewison, Jonathan Grant
Shahidul Islam Khan, Abu Sayed Latiful Hoque
Healthcare providers and researchers can discover the hidden knowledge from different health repositories if integration of data is performed by data warehousing. Integration of health records requires linkage of patients' data in different heterogeneous sources. Preserving record linkage in Nationa...
Md Abrar Jahin, Md Sakib Hossain Shovon, Jungpil Shin, Istiyaque Ahmed Ridoy et al.
This article systematically identifies and comparatively analyzes state-of-the-art supply chain (SC) forecasting strategies and technologies within a specific timeframe, encompassing a comprehensive review of 152 papers spanning from 1969 to 2023. A novel framework has been proposed incorporating Bi...