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Additional resources for Database Systems for Advanced Applications: 18th International Conference, DASFAA 2013, Wuhan, China, April 22-25, 2013. Proceedings, Part II
Eof () do 3: read blocks from edg and par to get new tour. 4: new tours vk+1 are merged into sorted buﬀer M by Eq. (11) (12)and save it into stemp 18: end while 19: srt ← stemp At k(k ≥ 2) iteration we adopt two-stage strategy (lines 4,5 of algorithm 1) due to the limitation of main memory space: First stage: we call a method (Algorithm 2) to generate a par ﬁle from ct ﬁle and edg ﬁle. P ar contains the partial tours and is sorted by ﬁrst node of partial node pairs. The values pv ˆ k+1 (its initial value is zero) of partial tours (f, a) can be calculated( a is a out-neighbor of e) by: pv ˆ k+1 (f, a)+ = c vk (e, f ) |I(a)| (16) Each line of par is (p1 : p2 , v(p1 , p2 ) .
Practical algorithms and lower bounds for similarity search in massive graphs. IEEE Trans. Knowl. Data Eng. 19(5), 585–598 (2007) 2. : Simrank: a measure of structural-context similarity. In: KDD, pp. 538–543 (2002) 3. : The anatomy of a large-scale hypertextual web search engine. 7th International World Wide Web Conference (1988) 4. : Authoritative sources in a hyperlinked environment. Journal of the ACM 46(5), 604–632 (1999) 5. : Accuracy estimate and optimization techniques for simrank computation.
Nt , v(n1 , nt )),where v(n, ni ) is the value of the tour (n1 , ni ) in ct,v(n, ni ) is the similarity score of (n1 ,ni ) in srt,n1 ≤ ni and 2 ≤ i ≤ t. Files are sorted by node n1 . Algorithm 3. eof () do 3: read blocks from edg and par to get new tour. 4: new tours vk+1 are merged into sorted buﬀer M by Eq. (11) (12)and save it into stemp 18: end while 19: srt ← stemp At k(k ≥ 2) iteration we adopt two-stage strategy (lines 4,5 of algorithm 1) due to the limitation of main memory space: First stage: we call a method (Algorithm 2) to generate a par ﬁle from ct ﬁle and edg ﬁle.