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Optimizing I/O for Big Array Analytics [PDF]

open access: yes, 2012
Big array analytics is becoming indispensable in answering important scientific and business questions. Most analysis tasks consist of multiple steps, each making one or multiple passes over the arrays to be analyzed and generating intermediate results ...
Yang, Jun, Zhang, Yi
core   +2 more sources

Big data analytics in Cloud computing: an overview

open access: yesJournal of Cloud Computing, 2022
Big Data and Cloud Computing as two mainstream technologies, are at the center of concern in the IT field. Every day a huge amount of data is produced from different sources.
Blend Berisha   +2 more
semanticscholar   +1 more source

Big data Analytics

open access: yesInternational Journal for Research in Applied Science and Engineering Technology
In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. Due to the rapid growth of such data, solutions need to be studied and provided in order
V. Pushpalatha   +3 more
  +7 more sources

Big Data Analytics in Supply Chain Management: A Systematic Literature Review and Research Directions

open access: yesBig Data and Cognitive Computing, 2022
Big data analytics has been successfully used for various business functions, such as accounting, marketing, supply chain, and operations. Currently, along with the recent development in machine learning and computing infrastructure, big data analytics ...
In Lee, George Mangalaraj
semanticscholar   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis   +9 more
wiley   +1 more source

Review-Based Recommender System Using Outer Product on CNN

open access: yesIEEE Access
The expansion of the e-commerce market has led to the challenge of information overload, necessitating the development of recommender systems. The recommender system aids users in decision-making by suggesting items that align with their preferences ...
Sein Hong   +3 more
doaj   +1 more source

GDF-15 as a Therapeutic Target of Diabetic Complications Increases the Risk of Gallstone Disease: Mendelian Randomization and Polygenic Risk Score Analysis

open access: yesFrontiers in Genetics, 2022
Growth differentiation factor 15 (GDF-15) levels have been revealed as a robust biomarker for metformin use. We conducted Mendelian randomization (MR) analysis to explore the association between GDF-15 and gallstone disease to inform potential ...
Lili Yu   +12 more
doaj   +1 more source

Smart Asset Management for Electric Utilities: Big Data and Future

open access: yes, 2018
This paper discusses about future challenges in terms of big data and new technologies. Utilities have been collecting data in large amounts but they are hardly utilized because they are huge in amount and also there is uncertainty associated with it ...
A Koronis   +6 more
core   +1 more source

BIG DATA ANALYTICS: A REVIEW OF ITS TRANSFORMATIVE ROLE IN MODERN BUSINESS INTELLIGENCE

open access: yesComputer Science & IT Research Journal
In the dynamic landscape of modern business intelligence, Big Data Analytics has emerged as a transformative force, reshaping the way organizations derive insights from vast and diverse datasets.
Chioma Ann Udeh   +4 more
semanticscholar   +1 more source

A Survey on Big Data Analytics: Challenges, Open Research Issues and Tools

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2022
: A huge repository of terabytes of data is generated each day from modern information systems and digital technologies such as Internet of Things and cloud computing. Analysis of these massive data requires a lot of efforts at multiple levels to extract
D. Acharjya, P. KauserAhmed
semanticscholar   +1 more source

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