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 124871 for “"data"”.
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Data Experiences : novel interfaces for data engagement using environmental health data
For the past twenty years, the data visualization movement has reworked the way we engage with information. It has brought fresh excitement to researchers and reached broad audiences. But what comes next for data? I seek to create example "Data Experiences" that will contribute to developing new …
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Improving RDF data with data mining
Linked Open Data (LOD) comprises very many and often large public data sets and knowledge bases. Those datasets are mostly presented in the RDF triple structure of subject, predicate, and object, where each triple represents a statement or fact. Unfortunately, the heterogeneity of available open …
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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 Iterated …
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Near-data scheduling for data centers with multiple levels of data locality
Data locality is a fundamental issue for data-parallel applications. Considering MapReduce in Hadoop, the map task scheduling part requires an efficient algorithm which takes data locality into consideration; otherwise, the system may become unstable under loads inside the system's capacity region …
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Data-centric Approaches for Responsible Data Science
The abundance of data, coupled with recent advancements in computation, has revolutionized almost every aspect of human life. While the undeniable benefits of this evolution are evident and despite the promise to bring good to human life and society, data-driven technologies could instead become …
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Data-driven modeling and transportation data analytics
Data has become increasingly important in transportation research. Unfortunately, existing traffic models, though developed and practiced for decades, are not data driven and therefore inherently incapable of analyzing modern traffic data from multiple sources with different time resolution and …
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Optimizing Data Compression via Data Reordering Strategies
… and cost-effectiveness of handling large tabular datasets stored in databases, a range of data compression techniques are employed. Among these, dictionary-based compression methods such as Lz4, Gzip, and Zstandard are commonly utilized to decrease data size. However, while these traditional …
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Differentially private data publishing for data analysis
… for effectively extracting knowledge from data while preserving the privacy of the individuals involved. In this dissertation, we address this challenge from the perspective of differentially private data publishing. Firstly, we propose PrivPfC, a differentially private method for releasing …
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APPLY DATA CLUSTERING TO GENE EXPRESSION DATA
<p>Data clustering plays an important role in effective analysis of gene expression. Although DNA microarray technology facilitates expression monitoring, several challenges arise when dealing with gene expression datasets. Some of these challenges are the enormous number of genes, the …
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Effective data versioning for collaborative data analytics
With the massive proliferation of datasets in a variety of sectors, data science teams in these sectors spend vast amounts of time collaboratively constructing, curating, and analyzing these datasets. Versions of datasets are routinely generated during this data science process, via various data …
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Transforming viscous data into liquid data : how does intermediating through platforms impact data?
This study examines how data platform intermediaries enable the evolution of viscous data into liquid data. Viscous data represents the many data usage problems that have plagued information systems since data was first used. Data may be viscous because of poor quality, lack of timeliness, size …
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Organizing historical agricultural data and identifying data integrity zones to assess agricultural data quality
… transitions into decision agriculture, data driven decision- making has become the focus of the industry and data quality will be increasingly important. Traditionally, yield data cleaning techniques have removed individual data points based on criteria primarily focused on the yield …
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Data as a Common Good: Essays on Data Portability and B2B Industrial Data Sharing
Data is an important resource in our economy and society, substantially improving overall business efficiency, innovativeness and competitiveness, and shaping our everyday lives. Yet, to leverage the data's full potential, its access and availability is vital. Thus, data sharing across …
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Data as a Competitive Resource: Essays on Market Power, Data Sharing, and Data Portability
Data is an important competitive resource in digital online markets. As a result, the access and availability of data can be the basis for a competitive advantage. This thesis analyzes the role and competitive effects of data in digital markets and contributes to an improved understanding of data …
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Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing
<p>Data Mining is the extraction of valuable information from the patterns of data and turning it into useful knowledge. Data preprocessing is an important step in the data mining process. The quality of the data affects the result and accuracy of the data mining results. Hence, Data preprocessing …
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Data Rate Enhancement in Ultrasonic Data Telemetry Links
… a novel technique for the enhancement of data rate in wireless data transfer through ultrasonic telemetry links. Referred to as INtervened-Timing, Enhanced-Rate Interval Modulation (INTERIM), the proposed technique is an isochronous pulse-based modulation technique, which embeds the …
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Urban Data Center: An Architectural Celebration of Data
… over distances never before imagined. The data center is the icon of this network.Through modern digitalization methods, text, sounds, images, and knowledge can be converted into zero's and one's and distributed almost instantly to all corners of the world. The data center is the center …
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Data fusion of images and 3D range data
… development are the multi-sensor approach and data-fusion. The thesis starts with the analysis of the state of the art related of the field of the automated logistic, focusing mostly on the most innovative applications and researches on the automatization of the load/unload of the goods in the …
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