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Full-Text Articles in Databases and Information Systems
Scalable Data Analytics For Relational Databases, Graphs And Videos, Fubao Wu
Scalable Data Analytics For Relational Databases, Graphs And Videos, Fubao Wu
Doctoral Dissertations
Data analytics is to analyze raw data and mine insights, trends, and patterns from them. Due to the dramatic increase in data volume and size in recent years with the development of big data and cloud storage, big data analytics algorithms and techniques have been faced with more challenges. Moreover, there are various types of data formats, such as relational databases, text data, audio data, and image/video data. It is challenging to generate a unified framework or algorithm for data analytics on various data formats. Different data formats still need refined and scalable algorithms. In this dissertation, we explore three …
Quantifying The Impact Of Non-Stationarity In Reinforcement Learning-Based Traffic Signal Control, Lucas N. Alegre, Ana L.C. Bazzan, Bruno C. Da Silva
Quantifying The Impact Of Non-Stationarity In Reinforcement Learning-Based Traffic Signal Control, Lucas N. Alegre, Ana L.C. Bazzan, Bruno C. Da Silva
Computer Science Department Faculty Publication Series
In reinforcement learning (RL), dealing with non-stationarity is a challenging issue. However, some domains such as traffic optimization are inherently non-stationary. Causes for and effects of this are manifold. In particular, when dealing with traffic signal controls, addressing non-stationarity is key since traffic conditions change over time and as a function of traffic control decisions taken in other parts of a network. In this paper we analyze the effects that different sources of non-stationarity have in a network of traffic signals, in which each signal is modeled as a learning agent. More precisely, we study both the effects of changing …
The Complexity Of Resilience, Cibele Matos Freire
The Complexity Of Resilience, Cibele Matos Freire
Doctoral Dissertations
One focus area in data management research is to understand how changes in the data can affect the output of a view or standing query. Example applications are explaining query results and propagating updates through views. In this thesis we study the complexity of the Resilience problem, which is the problem of finding the minimum number of tuples that need to be deleted from the database in order to change the result of a query. We will see that resilience is closely related to the well-studied problems of deletion propagation and causal responsibility, and that analyzing its complexity offers important …
Privacy-Preserving Sanitization In Data Sharing, Wentian Lu
Privacy-Preserving Sanitization In Data Sharing, Wentian Lu
Doctoral Dissertations
In the era of big data, the prospect of analyzing, monitoring and investigating all sources of data starts to stand out in every aspect of our life. The benefit of such practices becomes concrete only when analysts or investigators have the information shared from data owners. However, privacy is one of the main barriers that disrupt the sharing behavior, due to the fear of disclosing sensitive information. This dissertation describes data sanitization methods that disguise the sensitive information before sharing a dataset and our criteria are always protecting privacy while preserving utility as much as possible. In particular, we provide …