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 139 for “"Heterogeneous Data"”.
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Statistical modeling of heterogeneous data
This dissertation is centered on the modeling of heterogeneous data which is ubiquitous in this digital information age. From the statistical point of view heterogeneous data is composed of dissimilar components, where objects in each component are homogeneous themselves. One such example from the …
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Anomalous behaviour detection using heterogeneous data
… important methods to process and find abnormal data, as this method can distinguish between normal and abnormal behaviour. Anomaly detection has been applied in many areas such as the medical sector, fraud detection in finance, fault detection in machines, intrusion detection in networks, …
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High-Dimensional Inference with Heterogeneous Data
Modern large-scale data offers the exciting prospect of advancing our understanding of many scientific phenomena, but also presents significant computational and statistical challenges for traditional inference methods. A core assumption that underpins much of statistical theory and modelling is …
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Robot Fleet Learning From Heterogeneous Data
… Previous robot learning methods often collect data to train with one specific embodiment for one task, which is expensive and prone to overfitting. Similar to humans, robots and embodied agents inherently have to deal with heterogeneous inputs and outputs due to the nature of the …
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User-centered intrusion detection using heterogeneous data
With the frequency and impact of data breaches raising, it has become essential for organizations to automate intrusion detection via machine learning solutions. This generally comes with numerous challenges, among others high class imbalance, changing target concepts and difficulties to conduct …
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A foundation for integrating heterogeneous data sources
… integration issues that arise in a federation of heterogeneous data sources, possibly storing related information. Some of the notable features of our approach, motivated by the shortcomings of existing technology, include (a) the ability to share data across multiple heterogeneous data sources, …
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Degradation Analysis for Heterogeneous Data Using Mixture Model
… to analyze repeated-measures degradation data of multiple units. In existing studies, the test units are usually assumed to be sampled from a homogeneous population, and the random effects in the degradation models are generally assumed to be normally distributed. However, in practical …
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Processing Heterogeneous Data in the Internet of Things
… is completely different, therefore providing heterogeneous information. This fact is becoming a challenge for researchers working on IoT, who need to perform homogenisation and pre-processing tasks before using the IoT data in their analytics. Moreover, the volume of these heterogeneous data …
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Integrating heterogeneous data into electronic medical record analysis
… EMRs typically contain a multitude of diverse data, including images, doctor notes, medical test results, and genomic data. This heterogeneity generates high dimensionality and data sparsity, which are two of the most prevalent culprits that exacerbate already difficult computational problems. …
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Cross-layer protocol interactions in heterogeneous data networks
(cont.) TCP timeout backoff and MAC layer retransmissions, are studied in detail. The results show that the system performance is a balance of idle slots and collisions at the MAC layer, and a tradeoff between packet loss probability and round trip time at the transport layer. Finally, we consider …
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Use of heterogeneous data sources : three case studies
Thesis (M.S.)--Massachusetts Institute of Technology, Sloan School of Management, 1989.
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ADAPTIVE FRAMEWORKS FOR KNOWLEDGE EXTRACTION IN HETEROGENEOUS DATA ENVIRONMENTS
The proliferation of unstructured, multimodal data presents a significant challenge for effective knowledge extraction, due to the heterogeneous nature and the complexity of extracting meaningful patterns in environments presenting diverse data types. This thesis proposes SHIFT, the first …
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Integration of heterogeneous data types using self organizing maps
… hardware technologies, unprecedented access to data volumes become accessible in a distributed fashion forming heterogeneous data sources. Understanding and combining these data into data warehouses, or merging remote public data into existing databases can significantly enrich the information …
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A framework for smart traffic management using heterogeneous data sources
… interest in integrating different types of data sources to achieve higher precision in traffic forecasting and incident detection techniques. In fact, a considerable amount of literature has grown around the influence of integrating data from heterogeneous data sources into existing traffic …
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Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
… rely on the assumption that all the distributed data are drawn iid from the same distribution. However, in applications such as Federated Learning, the data across different nodes or machines can be inherently heterogeneous, which violates such an iid assumption. This work analyzes signSGD and …
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Assessing and designing heterogeneous data management solutions for health-related research applications
Data management may be a complex challenge in fields such as bioinformatics and health sciences, which continuously generate extensive heterogeneous datasets. In the context of collaborative global health initiatives, secure storage and sharing of data are crucial to support impactful research. …
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Deep representation learning for cancer transcriptomics: towards robust models for heterogeneous data
… cancer diagnosis and treatment. Molecular data, including genomic and transcriptomic profiles, are used to train these ML systems. But current models are very sensitive to distributional shifts in the underlying training data, which arise from variations in collection, preservation and …
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