Database Systems for Advanced Applications: 19th by Sourav S. Bhowmick, Curtis Dyreson, Christian S. Jensen,

By Sourav S. Bhowmick, Curtis Dyreson, Christian S. Jensen, Mong Li Lee, Agus Muliantara, Bernhard Thalheim

These volumes set LNCS 8421 and LNCS 8422 constitutes the refereed complaints of the nineteenth foreign convention on Database platforms for complicated functions, DASFAA 2014, held in Bali, Indonesia, in April 2014. The sixty two revised complete papers offered including 1 prolonged summary paper, four business papers, 6 demo displays, three tutorials and 1 panel paper have been rigorously reviewed and chosen from a complete of 257 submissions. The papers hide the next themes: huge information administration, indexing and question processing, graph info administration, spatio-temporal info administration, database for rising undefined, info mining, probabilistic and unsure info administration, net and social info administration, protection, privateness and belief, key-phrase seek, info circulation administration and information quality.

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134–144. Springer, Heidelberg (2010) 25. : Ensembling neural networks: Many could be better than all. com Abstract. Aided by the wide deployment of surveillance cameras in cities nowadays, capturing the video of criminal suspects is much easier than before. However, it is usually hard to identify the suspects only according to the content of surveillance video due to the low resolution rate, insufficient brightness or occlusion. To address this problem, we consider the information of when and where a suspect is captured by the surveillance cameras and achieve a spatio-temporal sequence ζi .

The operation ∩( , ) means the intersection of two time segments. The equation indicates the length of the overlapping time of two persons staying in a same cell. 66 J. Lv et al. Table 1. Records of Phone Trajectories Pk P1 P1 P2 P2 P2 P3 P4 P4 P4 P5 T Fk 2:20’05” 2:40’11” 2:25’08” 2:30’21” 2:31’06” 2:26’09” 2:27’10” 2:30’19” 2:35’21” 2:30’11” T Fk 2:40’10” 3:00’20” 2:30’20” 2:31’05” 2:39’17” 3:00’19” 2:30’18” 2:35’21” 2:38’30” 5:04’10” Ck C1 C2 C2 C5 C9 C5 C2 C3 C4 C9 Table 2. , σin } |ξi | Φ(σi , σj ) Ψ (ξi , ξj ) ξi ζj Description a spatio-temporal point (STP for short) about a person captured by a surveillance camera at the location Loci and at the time Ti a surveillance trajectory of a person captured by cameras a spatio-temporal segment(STS for short) of a phone which means the phone Ui is at the cell Ci from the time T Fi to T Ei .

C1,TF1,TE1,U1,A1 C1,TF2,TE2,U2,A2 C2,TF3,TE3,U3,A3 ... C3,TF4,TE4,U1,A4 C3,TF5,TE5,U4,A5 C4,TF6,TE6,U1,A6 ... C1 < C2 < C3 < C4 TF1 =TF3< TF2 is a STP about Pi captured by a surveillance camera at the location Locij and at the time Tij n - The length of ζi .

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