Results 1 to 10 of about 4,910 (220)

Orchestrating BigData Analysis Workflows [PDF]

IEEE Cloud Computing, 2017
Data analytics has become not only an essential part of day-to-day decision making, but also reinforces long-term strategic decisions. Whether it is real-time fraud detection, resource management, tracking and prevention of disease outbreak, natural disaster management or intelligent traffic management, the extraction and exploitation of insightful ...
Dimitrios Georgakopoulos, Saurabh Kumar Garg, Rajiv Ranjan   +2 more
exaly   +5 more sources

Blockchain and Bigdata to Secure Data Using Hash and Salt Techniques [PDF]

Journal of Information Technology Management, 2022
In recent times amount of data is increasing rapidly and analysis of data is a must to come up with business decisions, predictions etc. It’s not just text are numbers which has to be stored properly.
AlSelami Fudhah A.
doaj   +3 more sources

Artificial Intelligence Integrated Smart Medical Imaging Lab Framework for Enhanced Diagnosis and Treatment of Pandemic-Prone Diseases. [PDF]

Health Sci Rep
ABSTRACT Background The COVID‐19 pandemic has caused massive devastation worldwide, and its effects still persist. Managing the early stages was difficult, but scientists worked tirelessly to control it. The emergence of variants continues to pose a threat, raising doubts about the capability of the healthcare system.
Tungal A, Singh P, Singh K, Kaur PD, Bharany S, Pant R, Kumar A, Rehman AU, Hussen S.   +8 more
europepmc   +2 more sources

Clusterix-Like BigData DBMS [PDF]

Data Science and Engineering, 2020
Commercial OLAP systems are economically unavailable for organizations with limited financial capabilities. Analytical processing of large amounts of data in these organizations can be accomplished using open-source software systems on a cost-effective ...
Vadim A. Raikhlin, Roman K. Klassen
doaj   +2 more sources

On Definition of BigData [PDF]

EPJ Web of Conferences, 2019
The term Big Data (or BigData) is widely used in scientific, educational, and business literature; however, there does not exist a single definition that can be unreservedly called “canonical”.
Zolotov Oleg, Romanovskaya Yulia, Rzhannikova Varvara   +2 more
doaj   +2 more sources

DGM: deep graph clustering with mincut for analysis of single-cell transcriptomics [PDF]

BMC Genomics
Objective Single-cell RNA sequencing (scRNA-seq) is pivotal for deciphering cellular heterogeneity in biomedical research, from developmental biology to cancer studies.
Xi Liu, Xiaolin Chen, Wenqian Yang, Yong Yu   +3 more
doaj   +2 more sources

Proteomic Biomarkers Are Linked to QTc Interval in Patients With Chronic Heart Failure. [PDF]

Proteomics Clin Appl
ABSTRACT Objective This study investigates the link between circulating proteins and rate‐corrected QT (QTc) interval in patients with heart failure with reduced ejection fraction (HFrEF) and their association with cardiovascular outcomes. Methods and Results We analyzed 197 HFrEF patients from the prospective Serial Biomarker Measurements and New ...
Barry-Loncq de Jong M, Petersen TB, Abou Kamar S, Suthahar N, van Boven N, Akkerhuis KM, van der Spek PJ, Katsikis PD, de Boer RA, Umans VAWM, Boersma E, Asselbergs FW, Brugts JJ, Yap SC, Kardys I.   +14 more
europepmc   +2 more sources

Synthetic data production for biomedical research [PDF]

Osong Public Health and Research Perspectives
Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information. Although synthetic data does not consist of actual data points, it is
Yun Gyeong Lee, Mi-Sook Kwak, Jeong Eun Kim, Min Sun Kim, Dong Un No, Hee Youl Chai   +5 more
doaj   +2 more sources

Creation of column-oriented NoSQL databases automatically in Big Data environments and its impact on energy consumption [PDF]

E3S Web of Conferences, 2023
This study investigates the automatic creation of column-oriented NoSQL databases in Big Data environments and their impact on energy consumption. Traditional row-oriented databases face limitations in handling large volumes of data, resulting in slower ...
Elotmani Fouad, Esbai Redouane, Atounti Mohamed   +2 more
doaj   +1 more source

The study of ontology model for soccer player's social media contents analysis [PDF]

Cheyuk gwahag yeon-gu, 2020
Purpose Soccer-related social media BigData includes complex information related to soccer players and is continuously and instantly generated. Text mining research is actively carried out for this kind of social media contents analysis, but it tends to ...
Joo-Hak Kim, Sun-Mi Cho, Ji-Yeon Kang
doaj   +1 more source