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Enhancing Usability And Explainability Of Data Systems, Anna Fariha
Enhancing Usability And Explainability Of Data Systems, Anna Fariha
Doctoral Dissertations
The recent growth of data science expanded its reach to an ever-growing user base of nonexperts, increasing the need for usability, understandability, and explainability in these systems. Enhancing usability makes data systems accessible to people with different skills and backgrounds alike, leading to democratization of data systems. Furthermore, proper understanding of data and data-driven systems is necessary for the users to trust the function of the systems that learn from data. Finally, data systems should be transparent: when a data system behaves unexpectedly or malfunctions, the users deserve proper explanation of what caused the observed incident. Unfortunately, …
Supporting Scientific Analytics Under Data Uncertainty And Query Uncertainty, Liping Peng
Supporting Scientific Analytics Under Data Uncertainty And Query Uncertainty, Liping Peng
Doctoral Dissertations
Data management is becoming increasingly important in many applications, in particular, in large scientific databases where (1) data can be naturally modeled by continuous random variables, and (2) queries can involve complex predicates and/or be difficult for users to express explicitly. My thesis work aims to provide efficient support to both the "data uncertainty" and the "query uncertainty". When data is uncertain, an important class of queries requires query answers to be returned if their existence probabilities pass a threshold. I start with optimizing such threshold query processing for continuous uncertain data in the relational model by (i) expediting selections …
Database Usability Enhancement In Data Exploration, Yue Wang
Database Usability Enhancement In Data Exploration, Yue Wang
Doctoral Dissertations
Database usability has become an important research topic over the last decade. In the early days, database management systems were maintained by sophisticated users like database administrators. Today, due to the availability of data and computing resources, more non-expert users are involved in database computation. From their point of view, database systems lack ease of use. So researchers believe that usability is as important as the performance and functionality of databases and therefore developed many techniques such as natural language interface to enhance the ease of use of databases. In this thesis, we find some deeper technical issues in database …
High-Performance Complex Event Processing For Decision Analytics, Haopeng Zhang
High-Performance Complex Event Processing For Decision Analytics, Haopeng Zhang
Doctoral Dissertations
Complex Event Processing (CEP) systems are becoming increasingly popular in do- mains for decision analytics such as financial services, transportation, cluster monitoring, supply chain management, business process management, and health care. These systems collect or create high volumes event streams, and often require such event streams to be processed in real-time. To this end, CEP queries are applied for filtering, correlation, ag- gregation, and transformation, to derive high-level, actionable information. Tasks for CEP systems fall into two categories: passive monitoring and proactive monitoring. For passive monitoring, users know their exact needs and express them in CEP queries, then CEP engines …
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 …