PhD Thesis Efficiently and Effectively Processing Probabilistic Queries on Uncertain Data Candidate
نویسنده
چکیده
Uncertainty is inherent in many real applications. Uncertain data analysis and query processing has become a critical issue and has attracted a great deal of attention in database research community recently. The thesis, therefore, targets an important and challenging topic uncertain data management. It is a high quality and well-written PhD thesis. Five important and related aspects of uncertain data management are investigated in this thesis. They are probabilistic top-k skyline query (Chapter 3), probabilistic skyline over sliding windows (Chapter 4), probabilistic threshold based top-k dominating query (Chapter 5), KNN search over multi-valued objects (Chapter 6), and effective indexing structure (Chapter 7).
منابع مشابه
Efficiently and effectively processing probabilistic queries on uncertain data
Significance. Driven by many recent applications including social networks, sensor networks, data cleaning and integration, moving objects, image processing, information retrieval, crime control, economic decision making and market surveillance, querying and analyzing uncertain data draws a great deal of research attention from database community. A number of system prototypes for managing unce...
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