Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 101 for “"Big data analytics"”.
-
Big data analytics strategy formulation: a case study of big data analytics organizations in South Africa
Storing data as big data in isolation lacks inherent value until it undergoes analysis to yield valuable insights. The main goal for organizations investing in big data analytics (BDA) for digital transformation is to enhance decision-making and generate organizational value. However, most …
-
Spatiotemporal Big Data Analytics for Future Mobility
… have witnessed the explosion of spatiotemporal big data (e.g. GPS trajectories, vehicle engine measurements, remote sensing imagery, and geotagged tweets) which has a potential to transform our societies. Terabytes of earth observation data are collected every day from thousands of places across …
-
Big data analytics in computational biology and bioinformatics
Big data analytics in computational biology and bioinformatics refers to an array of operations including biological pattern discovery, classification, prediction, inference, clustering as well as data mining in the cloud, among others. This dissertation addresses big data analytics by …
-
Big Data Analytics in Static and Streaming Provenance
… ecological relationships at unprecedented scale. Data provenance traces relationships of entities over time, thus providing a unique view on over-time behavior under study. However, provenance can be overwhelming in both volume and complexity; the now forecasting potential of provenance creates …
-
Multimedia Big Data Analytics and Fusion for Data Science
Big data is becoming increasingly prevalent in people's everyday lives due to the enormous quantity of data generated from social and economic activities worldwide. As a result, extensive research has been undertaken to support the big data revolution. However, as data grows in volume, traditional …
-
Using Big Data Analytics to Optimize Practical Large Databases
<p>Big data analytics is gaining popularity for enterprises in optimizing their business processes ranging from retailers, supply chains, to online shopping stores. Existing practical raw data are far from usable to achieve the goal. Therefore, a good data pre-processing approach is required and is …
-
Scalable multi-access flash store for Big Data analytics
For many "Big Data" applications, the limiting factor in performance is often the transportation of large amount of data from hard disks to where it can be processed, i.e. DRAM. In this work we examine an architecture for a scalable distributed flash store which aims to overcome this limitation in …
-
Exploring applications of big data analytics in supply chain management
Empirical evidence demonstrates many benefits of Big data analytics (BDA) in supply chain management (SCM), including reduced operational costs, improved SC agility, and increased customer satisfaction. However, reports show that the BDA adoption of companies in SCM is relatively low, and the main …
-
Application of Big Data Analytics in Agriculture Supply Chain Management
… The methodology presented in this thesis applied big data analytics and machine learning algorithms along with agriculture product related exponential decay function to create a regionalized composite risk score, that incorporated both direct and indirect risk associated with the Agriculture Fresh …
-
Big data analytics made affordable using hardware-accelerated flash storage
Vast amount of data is continuously being collected from sources including social networks, web pages, and sensor networks, and their economic value is dependent on our ability to analyze them in a timely and affordable manner. High performance analytics have traditionally required a machine or a …
-
Automated partial premature infant pain profile scoring using big data analytics
… a partial pain score for newborn infants using big data analytics that automates the analysis of high speed physiological data. The design of the novel Artemis Premature Infant Pain Profile (APIPP) is proposed in this thesis. An ethically approved retrospective clinical research study was …
-
Exploring the Landscape of Big Data Analytics Through Domain-Aware Algorithm Design
Experimental and observational data emerging from various scientific domains necessitate fast, accurate, and low-cost analysis of the data. While exploring the landscape of big data analytics, multiple challenges arise from three characteristics of big data: the volume, the variety, and the …
-
Structuration analysis of collaboration in Big Data Analytics work practices in organizations
Background: Big Data's emergence has presented organizations with numerous opportunities, such as Big Data Analytics (BDA), which generates insight across multiple departments, interrelated business domains, and organizational levels and provides an opportunity for collaboration. Problem Statement: …
-
A Dynamic Capabilities Perspective of Big Data Analytics in Healthcare in South Africa
… been swamped with a vast amount of complex data coming in swiftly. Big Data could be a term for tremendous data sets with expansive, more shifted, complex structures with troubles putting away, analyzing, and visualizing distinctive processes or results. Big Data Analytics may be a modern …
-
An Analysis of the Impact of Big Data Analytics on Strategic Management in Business
Big data analytics is one of those business fields which has emerged from the increased role of information, technology, and digital communications within the business. The competitive nature of global trade is highly turbulent such that it demands companies to be more rapid, risk-taking, and …
-
Dynamic Model Generation and Semantic Search for Open Source Projects using Big Data Analytics
… first step of this process is to extract the metadata and dependency information from the source code using a call graph. A call graph is a directed graph that represents the execution logic of the program and helps with analyzing the relationships between various classes. The extracted data is …
-
Exploring the impact of Big Data analytics capability on port performance: The mediating role of sustainability
… provide a harvest of immense amounts of data, known as Big Data. Port management needs the capability to store, process and analyse Big Data to provide meaningful information and thus to maximise organisational performance. Furthermore, one of the most important trends in port development …
-
Study of big data analytics landscape : considerations for market entry of an E-commerce analytics vendor
… are struggling with optimally utilizing all the data generated. The last two decades have seen tremendous progress in data collection, storage, processing and visualization technologies. The last decade has seen a remarkable growth in the types of user data: social, web and more recently mobile. …
Page 1 of 6