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Environmental Restoration Database, Joao Nascimento
Environmental Restoration Database, Joao Nascimento
Graduate Theses & Non-Theses
Environmental restoration projects face many challenges. Public awareness, funding constraints, unpredictable weather, unknown biological/chemical factors and the uncertainty about how the targeted ecosystem will develop work against the planned and ideal restoration.
One way the projects’ efficiency can be improved is by using software tools for data and quality management systems, in order to share information, make field practice follow rules, keep track of maintenance tasks, measure results and, therefore, increase the rate of success by the amount of resources invested.
Since the conception of every project, all resources involved need to be focused and coherent to the final restoration …
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 …