Despite the fact that the human genome was sequenced ten years ago, there exists no database of cis-regulatory architecture that is validated conclusively by rigorous …
The widespread popularity of visual data exploration tools has empowered domain experts in a broad range of fields to make data-driven decisions. However, a key …
With recent developments in high performance computing, it is becoming increasingly feasible to utilize theoretical tools to provide accurate model parameters for catalyst design and …
There are two primary issues facing database systems designed for on-line transaction processing (OLTP): scalability and performance. Traditional disk-based OLTP architectures are the result of …
End-to-end encrypted relational database management systems are the “holy grail” of database security and have been studied by the research community for the last 20 …
Recent advancements in hardware have caused a shift toward purely in-memory data processing, forcing a complete redesign of the high-overhead abstractions (e.g., Volcano-style iterators) at …
Personal data is under constant threat in the modern world --- from corporations looking to profit from over-collection and sale of personal data, to criminal …
This thesis studies various techniques that exploit correlations between<br/><br/> attributes to significantly improve the performance and maintainability of<br/><br/> analytic databases.<br/><br/> We first show how a …
Abstract of “Enhancing Suicidal Behavior Comorbidity Knowledge Through Data Mining Based on Genetic Associations”, By Claudia Knox Jones, ScM, Brown University, May 2019. There is …
Preterm birth disparately impacts different groups of women based on a number of risk factors. Nearly half of the risk is attributed to genetic factors. …
The need for rich, ad-hoc data analysis is key for pervasive discovery. However, generic and reusable systems tools for interactive search, exploration and mining over …
An emerging class of distributed database management systems (DBMS) seek to provide high-performance transaction processing for data-intensive applications while maintaining strong consistency guarantees. These systems …
This thesis investigates the practicality and utility of mathematical models to represent continuous and occasionally unavailable data stream attributes, and processing relational-style queries in a …
Within the last decade, databases have undergone a major shift in designs largely due to two important hardware trends. While the increases in main-memory capacities …
Model-based, data-driven prediction is emerging as an essential ingredient for both user-facing applications, such as predictive analytics, and system-facing applications such as autonomic computing. This …
The ability to detect and adapt to changing conditions and circumstances is a requirement of life at both the organismal and cellular levels. Inside the …
In the past, streaming data management systems (SDMSs) have eschewed transactional management of shared mutable state in favor of low-latency processing of high-velocity data. Streaming …
