A First Course in Database Systems (3rd Edition) by Jeffrey D. Ullman

By Jeffrey D. Ullman

Overseas reprint version. Paperback. released in China. Contents in ENGLISH and absolutely comparable as US variation.

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The spatial score pspatial is based on how close the place is to the query location. Formally, given a range r, pspatial = 0, (r−||q, p||) where ||q, p|| indicates Euclidean distance between the query location and p. , the data space is normalized such that ||q, p|| ≤ 1 and r ≤ 1. score of each place p is computed as described above. 1: Fig. 1(a) illustrates the locations of a set of places P = {p1 , p2 , p3 , p4 }. The query q shown in Fig. 15, has a set of friends Fq = {u1 , u2 , u3 , u4 , u5 , u6 , u7 , u8 , u9 , u10 }.

TkIQ on the ACM dataset. Microsoft field ranking score and h-index from Google Scholar are denoted as well. TkIQ Position Name Field ranking score (Microsoft) 1 Hector Garcia-Molina 69 125 2 Jim Gray 43 79 3 David Maier 38 58 4 Jeffrey D. Ullman 60 105 5 Michael J. Carey 57 n/a 6 Abraham Silberschatz 33 73 7 Serge Abiteboul 52 77 8 Elisa Bertino 39 83 9 David J. DeWitt 62 81 10 Michael Stonebraker 60 n/a 11 John Mylopoulos 35 80 12 Jennifer Widom 66 92 13 Jiawei Han 51 136 14 Sushil Jajodia 36 93 15 Moshe Y.

Very Large Data Bases 24(6), 783–799 (2015) 3. : A general framework for geosocial query processing. Proc. VLDB Endowment 6(10), 913–924 (2013) 4. : Social learning theory (1977) 5. : Social learning and personality development, vol. 14, JSTOR (1963) 6. : Intervention analysis with applications to economic and environmental problems. J. Am. Stat. Assoc. 70(349), 70–79 (1975) 7. : Information and influence propagation in social networks. Synth. Lect. Data Manage. 5(4), 1–177 (2013) 8. : Scalable influence maximization for prevalent viral marketing in large-scale social networks.

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