Searched for: subject%3A%22query%22
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Matušovič, Marko (author)
Optimizing SQL query execution through effective cost models is a critical challenge in database management systems (DBMS). This thesis introduces a modular benchmarking system for cost models, with a pluggable architecture for both cost models and execution engines, enabling comprehensive benchmarking across various scenarios. Accompanied by a...
master thesis 2024
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Wallat, Jonas (author), Jatowt, Adam (author), Anand, A. (author)
Large language models (LLMs) have recently gained significant attention due to their unparalleled zero-shot performance on various natural language processing tasks. However, the pre-Training data utilized in LLMs is often confined to a specific corpus, resulting in inherent freshness and temporal scope limitations. Consequently, this raises...
conference paper 2024
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Dumbrava, Stefania (author), Jin, Zhao (author), Kulahcioglu Ozkan, Burcu (author), Qiu, Jingxuan (author)
Distributed databases are surging in popularity with the growing need for performance and fault tolerance. However, implementing transaction isolation models on distributed databases is more challenging due to their sharding and replication. As a result, they can produce executions that violate their claimed isolation guarantees. In this work...
conference paper 2024
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Su, Kexin (author)
General-purpose GPUs, renowned for their exceptional parallel processing capabilities and throughput, hold great promise for enhancing the efficiency of data analytics tasks. At the same time, recent developments in query execution engines have integrated the support of OLAP operations in a way that benefits from the zero serialization overhead...
master thesis 2023
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van Geerenstein, Mathijs (author)
3D object detection models that exploit both LiDAR and camera sensor features are top performers in large-scale autonomous driving benchmarks. A transformer is a popular network architecture used for this task, in which so-called object queries act as candidate objects. Initializing these object queries based on current sensor inputs leads to...
master thesis 2023
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Vilakathara, Arjun (author)
Accurate segmentation of anatomical structures and abnormalities in medical images is crucial, but manual segmentation is time-consuming and automated approaches lack clinical accuracy. In recent years, active learning approaches that aim to combine automatic segmentation with manual input have gained attention in the field, aiming to reduce the...
bachelor thesis 2023
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Qiu, Jingxuan (author)
Distributed databases often struggle to fulfill their transactional isolation guarantees due to sharding and replication. As a result, the problem of checking isolation levels is consistently receiving attention from academia and industries. Transactional dependency graphs form a useful abstraction to analyze the transactions’ dependencies and...
master thesis 2023
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Pera, M.S. (author), Murgia, Emiliana (author), Landoni, Monica (author), Huibers, Theo (author), Aliannejadi, Mohammad (author)
This paper contributes to the discussion initiated in a recent SIGIR paper describing a gap in the information retrieval (IR) literature on query understanding–where they come from and whether they serve their purpose. Particularly the connection between query variability and search engines regarding consistent and equitable access to all...
conference paper 2023
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Sun, W. (author), Katsifodimos, A (author), Hai, R. (author)
The rapid growth of large-scale machine learning (ML) models has led numerous commercial companies to utilize ML models for generating predictive results to help business decision-making. As two primary components in traditional predictive pipelines, data processing, and model predictions often operate in separate execution environments,...
conference paper 2023
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Schönfeld, Mariette (author)
Machine learning inference queries are a type of database query for databases where a model pipeline is needed to evaluate its boolean predicates. Using a model zoo it is possible to select a variety of models to execute in a sequence rather than using a highly specialized model to answer every query predicate. Machine learning models can have...
master thesis 2022
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Palakodeti, Anitej (author)
Generating synthetic images has wide applications in several fields such as creating datasets for machine learning or using these images to investigate the behaviour of machine learning models. An essential requirement when generating images is to control aspects such as the entities or objects in the image. Controlling this helps in creating...
master thesis 2022
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Huang, Xiaoao (author)
Commonsense knowledge is a type of knowledge consisting of facts that humans use every day. Humans make queries in search engines with different user intents, and some of them can be answered by knowledge tuples. Different types of knowledge are stored differently in the knowledge bases. Being aware of the types of commonsense knowledge required...
bachelor thesis 2022
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Liu, H. (author)
In the Geomatics domain, a point cloud refers to a data set which records the coordinates and other attributes of a huge number of points. Conceptually, each of these attributes can be regarded as a dimension, representing a specific type of information. Apart from routinely concerned spatio-temporal dimensions for coordinates, other dimensions...
doctoral thesis 2022
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Zwaan, A.S. (author)
To warrant programmer productivity, type checker results should be correct and available quickly. Correctness can be provided when a type checker implementation corresponds to a declarative type system specification. Statix is a type system specification language which achieves this by automatically deriving type checker implementations from...
conference paper 2022
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Li, Meng (author), Zhang, Mingwei (author), Gao, Jianbo (author), Lal, C. (author), Conti, M. (author), Alazab, Mamoun (author)
Location-Based Services (LBSs) depend on a Service Provider (SP) to store data owners’ geospatial data and to process data users’ queries. For example, a Yelp user queries the SP to retrieve the k nearest Starbucks by submitting her/his current location. It is well-acknowledged that location privacy is vital to users and several prominent...
conference paper 2022
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Li, Meng (author), Gao, Jianbo (author), Zhang, Zijian (author), Fu, Chaoping (author), Lal, C. (author), Conti, M. (author)
Shortest distance queries over large-scale graphs bring great benefits to various applications, i.e., save planning time and travelling expenses. To protect the sensitive nodes and edges in the graph, a user outsources an encrypted graph to an untrusted server without losing the query ability. However, no prior work has considered the user...
conference paper 2022
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Gürsoy Sürmeneli, Hicret (author), Koeva, Mila (author), Alkan, Mehmet (author)
Representation of Right, Restriction, and Responsibility (RRR) in the 2D cadastral system falls short due to rapid urbanization causing complex infrastructures. Turkish cadastre, as in many other countries, faces difficulties in the daily recording of property transactions such as sales, donations among others. Therefore, it is highly...
conference paper 2021
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Verheijde, Jim (author)
At the moment we are witnessing the maturation of distributed streaming dataflow systems whose use-cases have departed from the mere analysis of streaming windows and complex-event processing, as they now extend to cloud applications, workflows and even e-commerce. The state of streaming operators has been so far hidden from external...
master thesis 2021
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Ion, Claudiu (author)
While SQL engines are now capable of detecting a large number of syntactic mistakes, most often semantic errors are not detected, which can lead to serious performance issues or even security vulnerabilities being introduced in the system. This thesis proposes a set of 25 validated heuristics together with a new rule-based static analysis tool...
master thesis 2021
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Wang, Yiran (author)
In order determine when we can show direct answer module to user queries in web search engine, an independent classifier is designed in this study to assess the answerability of each user query. Real user queries are sampled from MS MARCO Question Answering and Natural Langauge Generation dataset \cite{MSMARCO} and manually labelled with query...
bachelor thesis 2021
Searched for: subject%3A%22query%22
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