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.
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Showing 1 to 20 of 847 for “"Big-data"”.
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Personal Big Data
… services are concerned about questions of data privacy. At the same time, they want to benefit from smart data-driven services, which require insight into a person’s individual behaviour. The modus operandi of user modelling is that data is sent to a remote server where the model is …
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Big Data and Organizational Impacts: A Study of Big Data Ventures
… mostly overlooked new IT ventures. Specifically, Big Data industry is a context where new IT ventures actively change the landscape of IT innovations. However, less is known about the factors influencing the economic success of Big Data ventures (BDVs), as well as the established firms that invest …
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What about big data?
… BS final project will be analyzing the different big data processing approaches and techniques. In other words, we will focus on the Velocity concept, specifically in the different solutions based in batch processing techniques. The study will focus on the two major current proposed solutions: …
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An Epidemiology of Big Data
… the common drivers that have contributed to a data explosion, with industry analysts and stakeholders proclaiming this decade the big data decade in healthcare (Horowitz, 2012). But a precise definition of big data is hazy (Dumbill, 2013). Instead, the healthcare industry mainly relies on …
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Big Data and Firm Risk
This paper investigates the impact of firm data collection and analysis of collected data on the riskiness of firm cash flows. I use a scraped data set of the third party resources loaded on firms’ websites as a measure of firm data collection and analysis practices. I find that firm use of less …
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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 …
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Big Data and the Rhetorical Narrative
… to a substantial collection of unstructured data it offers. This permitted an effective exploration through means of analyzing mediated narratives while concurrently using computational methods to assemble, filter, and interpret "Reddit narratives." The project progresses in two parts. First …
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Big Data Phylogenomics: Methods and Applications
Phylogenomics, the study of genome-scale data containing many genes and species, has advanced our understanding of patterns of evolutionary relationships and processes throughout the Tree of Life. Recent research studies frequently use such large-scale datasets with the expectation of recovering …
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Transferring big data across the globe
<p>Transmitting data via the Internet is a routine and common task for users today. The amount of data being transmitted by the average user has dramatically increased over the past few years. Transferring a gigabyte of data in an entire day was normal, however users are now transmitting multiple …
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Detecting abrupt changes in big data
… detection that can be used in the realm of Big Data. In particular we look at developing methods that can be scaled to the volume of data, now readily collected and stored, and are also versatile to the different varieties of data. A well established approach to detect changes uses penalised …
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I2MAPREDUCE: DATA MINING FOR BIG DATA
… Incremental MapReduce for Mining Evolving Big Data . i<sup>2</sup>MapReduce is used for incremental big data processing, which uses a fine-grained incremental engine, a general purpose iterative model that includes iteration algorithms such as PageRank, Fuzzy-C-Means(FCM), Generalized …
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Enhancing healthcare decisions using big data
… supports US healthcare decisions by analyzing big data. The first chapter contains two papers that document and predict 10-year school opening, closing, and vacation dates and explore the transmission of common respiratory infectious diseases within families. The second chapter generates …
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Probabilistic Graphical Modeling on Big Data
<p>The rise of Big Data in recent years brings many challenges to modern statistical analysis and modeling. In toxicogenomics, the advancement of high-throughput screening technologies facilitates the generation of massive amount of biological data, a big data phenomena in biomedical science. Yet, …
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Influence mining from unstructured big data
… behavior modeling based on historical activity data, little attention has been paid to how external factors influence the user behavior, which is clearly important for improving an intelligent system. The influence of external factors on user behavior is mostly reflected in two different ways: …
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Computing Big-Data Applications Near Flash
… systems produce a large and growing amount of data, which is often referred to as Big Data. Providing valuable insights from this data requires new computing systems to store and process it efficiently. For a fast response time, Big Data typically relies on in-memory computing, which requires a …
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Er Ísland of lítið fyrir Big Data?
Í viðskiptaumhverfi nútímans standa fyrirtæki frammi fyrir auknu magni gagna sem þeim berast frá mörgum ólíkum uppsprettum. Með vönduðum greiningum á gögnum geta fyrirtæki byggt ákvarðanir sínar á sterkari rökum og geta þannig skapað sér mögulegt samkeppnisforskot. Eftirfarandi er rannsókn á notkun …
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Tuning Big Data Systems Via Deep Learning
Modern database systems, including IBM Db2 have numerous parameters, “knobs,” that require precise configuration to achieve optimal workload performance. Even for experts, manually “tuning” these knobs is a challenging process. We present Db2une, an automatic query-aware tuning system that …
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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 …
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Big Data, Surveillance, and the Digital Citizen
… of surplus-value generating behavioural data through both production and consumption of digital content; 3) recognising state online surveillance regimes as a digital panopticon involving a new technology of power of algorithmic panoptic uncertainty; 4) assessing the implications of the …
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Supporting Big Data at the Vehicular Edge
… <p>This Thesis will develop a simple vehicle datacenter solution based upon Smart Vehicles in a parking lot. While previous work has developed similar models based upon the idea of migration of jobs due to residency of the vehicles, this model will assume that residency times cannot be …
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