By Trieu Minh Nhut Le, Jinli Cao (auth.), Sang-goo Lee, Zhiyong Peng, Xiaofang Zhou, Yang-Sae Moon, Rainer Unland, Jaesoo Yoo (eds.)
This quantity set LNCS 7238 and LNCS 7239 constitutes the refereed complaints of the seventeenth foreign convention on Database platforms for complicated purposes, DASFAA 2012, held in Busan, South Korea, in April 2012.
The forty four revised complete papers and eight brief papers awarded including 2 invited keynote papers, eight commercial papers, eight demo shows, four tutorials and 1 panel paper have been conscientiously reviewed and chosen from a complete of 159 submissions. the subjects coated are question processing and optimization, information semantics, XML and semi-structured information, information mining and information discovery, privateness and anonymity, info administration within the net, graphs and knowledge mining functions, temporal and spatial info, top-k and skyline question processing, details retrieval and suggestion, indexing and seek structures, cloud computing and scalability, memory-based question processing, semantic and determination aid platforms, social facts, facts mining.
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Extra resources for Database Systems for Advanced Applications: 17th International Conference, DASFAA 2012, Busan, South Korea, April 15-19, 2012, Proceedings, Part II
Example text
At any moment, the set P RSN of U DSN must equal to P RSN of U DSN,reserved . Probabilistic Reverse Skyline Query Processing over Uncertain Data Stream 23 According to Theorem 5, the problem of reverse skyline query over uncertain data stream can be simplified to computing probabilistic reverse skyline over U DSN,reserved , and we can directly delete the tuples which not meet the condition in Formula 3. The following calculations are carried out in U DSN,reserved , and we omit superscript RE later in this paper.
The main relationships are illustrated in Figure 6. min' x (a) Relationship u to e q x (b) Relationship e to u Fig. 6. Example of Relationships between Tuples and R-tree Entry Figure 6(a) illustrates the semi-dominance and full-dominance relationships from tuples to e. min, then all the tuples in e can be full-dominated (semi-dominated) by u1 (u2 ), no further calculation. max, then u3 (u4 ) can full-dominate (semi-dominate) no tuples in e, and we can ignore e. Figure 6(b) illustrates the semi-dominance relationships from e to tuples.
The best answer will be returned without losing any important tuples in terms of the non-dominated set, whereupon, the users can choose the best one in both ranking score and top-k probability. Fig. 1. The answer to the PT-10 vs. thresholds Moreover, we compare the PT-k algorithm (PT-k), our proposed algorithm (top-k best probability), and the top-k normal algorithm (top-k normal) to evaluate which is the most effective calculation and the most efficient answers. The top-k normal algorithm simply returns the k top-k highest ranking scores in the data set.