By Wook-Shin Han, Mong Li Lee, Agus Muliantara, Ngurah Agus Sanjaya, Bernhard Thalheim, Shuigeng Zhou (eds.)
This e-book constitutes the workshop complaints of the nineteenth overseas convention on Database structures for complex functions, DASFAA 2014, held in Bali, Indonesia, in April 2014. the amount comprises papers from four workshops, each one targeting sizzling issues regarding database platforms and purposes: the second one foreign Workshop on substantial facts administration and Analytics, BDMA 2014; the 3rd foreign Workshop on info administration for rising community Infrastructure, DaMEN 2014; the 3rd foreign Workshop on Spatial info Modeling, administration and Mining, SIM³ 2014, and the DASFAA Workshop on doubtful and Crowdsourced facts, UnCrowd 2014.
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Extra info for Database Systems for Advanced Applications: 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM³, UnCrowd; Bali, Indonesia, April 21--24, 2014, Revised Selected Papers
Improved BNL by presorting, they proposed Sort-F ilter-Skyline (SF S) as a variant of BNL . Among index-based methods, Tan et al. proposed two progressive skyline computing methods Bitmap and Index . In the Bitmap approach, every dimension value of a point is represented by a few bits. By applying bit-wise AN D operation on these vectors, a given point can be checked if it is in the skyline without referring to other points. The index method organizes a set of d-dimensional objects into d lists such that an object O is assigned to list i if and only if its value at attribute i is the best among all attributes of O.
Table 1. Database DS Dataset1 ID a1 a2 O1,1 1 9 O1,2 2 10 O1,3 4 8 Dataset2 ID a1 a2 O2,1 6 7 O2,2 9 10 O2,3 7 5 Dataset3 Dataset4 ID a1 a2 ID a1 a2 O3,1 5 6 O4,1 9 1 O3,2 4 3 O4,2 10 4 O3,3 3 2 O4,3 6 2 O4,4 8 3 Distributed Skyline Computation of Vertically Splitted Databases 35 In addition to the scalability, we have to be aware of privacy issues in a database. All existing distributed skyline algorithms do not pay much attentions on the privacy issue. It is always possible to pool local skyline result from all distributed datasets in one place and run global skyline computation.
Figure 2 shows the confusion matrix computed by the proposed OnHIDM for our Dogs database. 13 %). For comparison, we have also applied three other mixture-based approaches as mentioned earlier: BaHIDM, OnHIGM and OnFDM. The average performances of all tested approaches are given in Table 1. 2237 for diﬀerent runs) by providing better results than other two tested approaches. In this case, OnHIDM is a better choice over the BaHIDM, since OnHIDM is signiﬁcantly faster, thanks to its online learning property, than the BaHIDM.
Database Systems for Advanced Applications: 19th International Conference, DASFAA 2014, International Workshops: BDMA, DaMEN, SIM³, UnCrowd; Bali, Indonesia, April 21--24, 2014, Revised Selected Papers by Wook-Shin Han, Mong Li Lee, Agus Muliantara, Ngurah Agus Sanjaya, Bernhard Thalheim, Shuigeng Zhou (eds.)